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斉藤 和巳

[連絡先] 〒422-8526 静岡市駿河区谷田52番1号
静岡県立大学 経営情報学部 経営情報学部棟4306号室

ゼミでの主な研究テーマ（予定）

  1. ウェブなど複雑ネットワークの成長や情報伝播の基本数理モデルの構築
  2. 大規模データや複雑ネットワークの構造理解のための情報可視化
  3. 株価データ変動の類似度に基づく企業間関係などのデータマイニング
  4. ブログ間コミュニケーションなどの社会ネットワークの分析
  5. ...

教員の略歴

1985年慶應義塾大学 理工学部 数理科学科卒業, 1998年東京大学博士(工学). 1985年 NTT入社. 機械学習, ニューラルネット, 複雑ネットワークの研究に従事. 1991年9月より1年間カナダOttawa大学客員研究員. 2007年7月より静岡県立大学 経営情報学部 教授

受賞歴

1997年情報処理学会 論文賞, "コネクショニストアプローチによる数法則の発見,"
1999年人工知能学会 論文賞, "MDL原理に基づく新正則化法,"
2004年FIT 船井ベストペーパー賞, "事後確率構造の可視化,"
2005年FIT 論文賞, "生成・識別ハイブリッドモデルに基づく半教師あり学習,"
2008年電子情報通信学会 情報・システムソサイエティ活動功労賞, "和文論文誌編集委員・査読委員としての貢献,"
2009年日本ソフトウェア科学会 論文賞, "人間関係の重なりを持つコミュニティ構造の抽出,"
2009年日本応用数理学会 論文賞, "PMM型主成分分析を用いた文書ストリームの主要潜在トピック抽出,"

所属学会

情報処理学会, 電子情報通信学会, 人工知能学会, 日本神経回路学会, 日本応用数理学会

専門的活動

電子情報通信学会 論文誌DII 査読委員, 1999-.
人工知能学会 編集委員 2000-2004.
電子情報通信学会 論文誌DII 編集委員, 2003-2007.
人工知能学会 評議員 2007-.
日本神経回路学会 理事 2008-.

研究内容

著書

  1. 斉藤 和巳, " ウェブサイエンス入門 -インターネットの構造を解き明かす-," NTT出版, 2007.

ジャーナル論文

  1. 木村 昌弘, 斉藤 和巳, 中野 良平, 元田 浩, "社会ネットワークにおける有力ノード抽出のための情報拡散モデルの学習," 人工知能学会論文誌, Vol.25, No.1, pp.215--223, 2010.
  2. 斉藤 和巳, 武藤 伸明, 池田 哲夫, 入月 卓也, 永田 大, 伊藤 かの子, "遅延評価導入による局所改善クラスタリング法の高速化," 情報処理学会論文誌, 数理モデル化と応用, Vol.3, No.1, pp.62--72, 2010.
  3. Masahiro Kimura, Kazumi Saito, Ryohei Nakano, and Hiroshi Motoda, "Extracting Influential Nodes on a Social Network for Information Diffusion," Data Mining and Knowledge Discovery, Vol.20, No.1，pp.70--97, 2010.
  4. 青山 一生, 斉藤 和巳, 山田 武士, 上田 修功, "グラフ索引構造を用いた高速類似探索," 電子情報通信学会論文誌, Vol.J92D, No.9, pp.1543-1554, 2009.
  5. 木村 学, 斉藤 和巳, 上田 修功, "効率的な類似検索のためのピボット学習法," 情報処理学会論文誌, Vol.50，No.8，pp.1883-1891, 2009.
  6. Masahiro Kimura, Kazumi Saito and Hiroshi Motoda, "Blocking Links to Minimize Contamination Spread in a Social Network," ACM Transactions on Knowledge Discovery from Data, Vol.3，No.2, Article 9，pp.1--23, 2009.
  7. Kazumi Saito, Takeshi Yamada and Kazuhiro Kazama, "Extracting Communities from Complex Networks by the k-dense method," IEICE Transactions, Vol.E91-A, No.11, pp.3304--3311, 2008.
  8. 木村 昌弘, 斉藤 和巳, "PMM型主成分分析を用いた文書ストリームの主要潜在トピック抽出," 応用数理学会論文誌, Vol.18，No.3，pp.363--388，2008.
  9. 福井 健一, 斉藤 和巳, 木村 昌弘, 沼尾 正行, "自己組織化ネットワークによる動的クラスタの可視化編纂," 人工知能学会論文誌, Vol.23, No.5, pp.319--329, 2008.
  10. 棚橋 裕輔, 中野 良平, 斉藤 和巳, "4層パーセプトロンを用いた質的条件付き重回帰," 電子情報通信学会論文誌, Vol.J91D, No.8, pp.2166--2176, 2008.
  11. Tomoharu Iwata, Kazumi Saito and Takeshi Yamada, "Recommendation Method for Improving Customer Lifetime Value," IEEE Transactions on Knowledge and Data Engineering, Vol.20，No.9，pp.1254--1263，2008.
  12. 木村 昌弘, 斉藤 和巳, 中野 良平, "社会ネットワーク上の情報伝播における強影響力ノード抽出の効率化," 電子情報通信学会論文誌, Vol.J91D, No.4, pp.1004--1015, 2008.
  13. Akinori Fujino, Naonori Ueda, and Kazumi Saito, "Semi-supervised learning for a hybrid generative/discriminative classifier based on the maximum entropy principle," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.30, No.3, pp.424--437, 2008.
  14. 岩田 具治, 斉藤 和巳, "パラメトリック埋め込み法を用いた分類器の視覚的解析," 情報処理学会論文誌, Vol.48，No.12，pp.4012--4022，2007.
  15. 藤野 昭典, 上田 修功, 斉藤 和巳, "複数の構成要素データを扱う多クラス分類器の半教師有り学習," 情報処理学会論文誌, 数理モデル化と応用, Vol.48，No.SIG 15 (TOM 18), pp. 163--175, 2007.
  16. 福井 健一, 佐藤 一永, 水崎 純一郎, 斉藤 和巳, 沼尾 正行, "固体酸化物燃料電池における破壊ダイナミクスの可視化法," 情報科学技術レターズ, Vol.6, pp.5--8, 2007.
  17. Kazumi Saito and Ryohei Nakano, "Bidirectional Clustering of Weights for Neural Networks with Common Weights," Systems and Computers in Japan, Vol. 38, No.10, pp. 46--57, 2007.
  18. Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, and Joshua B. Tenenbaum, "Parametric Embedding for Class Visualization," Neural Computation, Vol.19, No.9, pp.2536--2556, 2007.
  19. 岩田 具治, 斉藤 和巳, 山田 武士, "契約期間を延ばすためのレコメンド法," 情報処理学会論文誌, 数理モデル化と応用, Vol.48，No.SIG 6 (TOM 17), pp. 65--74, 2007.
  20. 福井 健一, 斉藤 和巳, 木村 昌弘, 沼尾 正行, "ベクトル表現可能な機械抽出トピックの定量的評価法," 情報処理学会論文誌, 数理モデル化と応用, Vol. 48, No.SIG 6 (TOM17), pp.1--11, 2007.
  21. Akinori Fujino, Naonori Ueda, and Kazumi Saito, "A hybrid generative/discriminative approach to text classification with additional information," Information Processing and Management, Vol.43, No.2, pp.379--392, 2007.
  22. 風間 一洋, 佐藤 信也, 斉藤 和巳, 山田 武士, "人間関係からの重なりを持つコミュニティ構造の抽出," 日本ソフトウェア科学会論文誌, Vol.24, No.1, pp.81--90, 2007
  23. 藤野 昭典, 上田 修功, 斉藤 和巳, "最大エントロピー原理に基づく付加情報の効果的な利用によるテキスト分類," 情報処理学会論文誌, Vol.47, No.10, pp.2929--2937, 2006.
  24. 風間 一洋, 佐藤 信也, 斉藤 和巳, 木村 昌弘, "トラックバックネットワークに基づくＳＥＯコミュニティの分析," 情報処理学会論文誌, Vol.47, No.3, pp.840--849, 2006.
  25. 藤野 昭典, 上田 修功, 斉藤 和巳, "半教師あり学習のための生成・識別ハイブリッド分類器の設計法," 人工知能学会論文誌, Vol.21, No.3, pp.301--309, 2006.
  26. Naonori Ueda and Kazumi Saito, "Parametric mixture models for multi-topic text," Systems and Computers in Japan, Vol.37, No.2, pp.56--66, 2006.
  27. 岩田具治，斉藤和巳，上田修功, "契約期間を延ばすためのリコメンデーション法," 情報科学技術レターズ, Vol.5, pp.109--112, 2006.
  28. 岩田 具治, 斉藤 和巳, 上田 修功, "パラメトリック埋め込み法によるクラス構造の可視化," 情報処理学会論文誌, Vol.46, No.9, pp.2337--2346, 2005.
  29. Pablo A. Estevez, Cristian J. Figueroa, and Kazumi Saito, "Cross-entropy Embedding of High-dimensional Data Using the Neural Gas Model," Neural Networks, Vol.18 , pp.727--737, 2005.
  30. Tomoharu Iwata and Kazumi Saito, "Visualization of Anomaly Using Mixture Model," Journal of Intelligent Manufacturing, Vol.16, No.6, pp.635--643, 2005.
  31. 斉藤 和巳, 中野 良平, "重み双方向クラスタリング学習法：最適な共有重み構造を持つニューラルネットを求めて," 電子情報通信学会論文誌, Vol.J88-D-II, No.4, pp.789--799, 2005.
  32. 藤野 昭典, 上田 修功, 斉藤 和巳, "生成・識別ハイブリッドモデルに基づく半教師あり学習," 情報科学技術レターズ, Vol.4, pp.161--164, 2005.
  33. Masahiro Kimura, Kazumi Saito, and Naonori Ueda, "Modeling share dynamics by extracting competition structure," Physica D, Vol.198 pp.51--73, 2004.
  34. Masahiro Kimura, Kazumi Saito, and Naonori Ueda, "Modeling of growing networks with directional attachment and Communities," Neural Networks, Vol.17, pp.955--988, 2004.
  35. Masahiro Kimura, Kazumi Saito, and Naonori Ueda, "Modeling network growth with directional attachment and Communities," System and Computers in Japan Vol.35, No.8, pp.1--11, 2004.
  36. 岩田 具治，斉藤 和巳，上田 修功, "事後確率構造の可視化," 情報科学技術レターズ, Vol.3, 119--120, 2004.
  37. 金田 有二，斉藤 和巳，上田 修功, "文書分類体系間の対応関係の自動抽出," 情報科学技術レターズ, Vol.3, 121--122, 2004.
  38. 藤野 昭典, 上田 修功, 斉藤 和巳, "交差確認法に基づく適合性フィードバック," 情報科学技術レターズ, Vol.3, pp.53--54, 2004.
  39. 上田 修功, 斉藤 和巳, "多重トピックテキストの確率モデル－パラメトリック混合モデル－," 電子情報通信学会論文誌, Vol.J87-D-Ⅱ, No.3, pp.872--883, 2004.
  40. 上田 修功, 斉藤 和巳, "類似テキスト検索のための多重トピックテキストモデル," 情報処理学会論文誌, Vol.44, No. SIG14, pp.1--8, 2003.
  41. 木村 昌弘, 斉藤 和巳, 上田 修功, "指向性アタッチメントとコミュニティをもつ成長ネットワークモデル," 電子情報通信学会論文誌, Vol.J86-D-Ⅱ, No.10, pp.1468--1479, 2003.
  42. 山田 武士, 斉藤 和巳, 上田 修功, "クロスエントロピー最小化に基づくネットワークデータの埋め込み," 情報処理学会論文誌, Vol.44, No.9, pp.2401--2408, 2003.
  43. 斉藤 和巳, 中野 良平, "線形変数変換に不変な自乗値ペナルティ項の構成法," 情報処理学会論文誌,Vol.44, No. 10, pp.2495--2502,2003.
  44. Kazumi Saito, Ryohei Nakano, "Extracting Regression Rules From Neural Networks," Neural Networks, Vol.15, pp.1279--1288, 2002.
  45. 斉藤 和巳, 中野 良平, "交差検証誤差最小化による重要重みの発見," 電子情報通信学会論文誌, Vol.J84-D-Ⅱ,No.1, pp.178--187, 2001.
  46. Kazumi Saito and Ryohei Nakano, "Second-order learning algorithm with squared penalty term," Neural Computation, Vol.12, No.3, pp.709--729, 2000.
  47. 斉藤 和巳, 中野 良平, "2次学習アルゴリズムBPQによるリカレントネットワーク学習とガウス混合分布推定," 電子情報通信学会論文誌, Vol.J81-D-II, No.3, pp.538--546, 1998.
  48. 斉藤 和巳, 中野 良平, "HMEの構成的学習アルゴリズム," 電子情報通信学会論文誌, Vol.J81-D-II, No.2, pp.412--420, 1998.
  49. 斉藤 和巳, 中野 良平, "2次学習アルゴリズムBPQの分類問題への適用法とその評価," 電子情報通信学会論文誌, Vol.J81-D-II, No.2, pp.404--411, 1998.
  50. 斉藤 和巳, 中野 良平, "MDL原理に基づく新正則化法," 人工知能学会誌, Vol.13, No.1, pp.123--130, 1998.
  51. 斉藤 和巳, 中野 良平, "自乗値ペナルティ項を用いた2次学習アルゴリズム," 情報処理学会論文誌, Vol.38, No.11, pp.2149--2156, 1997.
  52. Kazumi Saito and Ryohei Nakano, "Partial BFGS update and calculating optimal step-length for three-layer neural networks," Neural Computation, Vol.9, No.1, pp.123--141, 1997.
  53. 斉藤 和巳, 中野 良平, "コネクショニストアプローチによる数法則の発見," 情報処理学会論文誌, Vol.37, No.9, pp.1708--1716, 1996.
  54. 斉藤 和巳, 中野 良平, "適応概念学習アルゴリズム: RF4," 情報処理学会論文誌, Vol.36, No.4, pp.832--839, 1995.
  55. 斉藤 和巳, 中野 良平, "ベイズ推定に基づくタスク順序付け," 情報処理学会論文誌, Vol.36, No.3, pp.572--578, 1995.
  56. 斉藤 和巳, 中野 良平, "ノイズを含む事例からのルール抽出法: RF3アルゴリズム," 情報処理学会論文誌, Vol.33, No.5, pp.636--644, 1992.
  57. 斉藤 和巳, 中野 良平, "事例からのルール抽出法: RF2アルゴリズム," 情報処理学会論文誌, Vol.33, No.5, pp.628--635, 1992.
  58. 中野 良平, 斉藤 和巳, "関係論理から最適な関係代数表現への変換法," 情報処理学会論文誌, Vol.29, No.4, pp.397--406, 1988.
  59. 中野 良平, 斉藤 和巳, "関係論理表現に現われる集約関数の関係代数表現への変換法," 情報処理学会論文誌, Vol.28, No.12, pp.1246--1254, 1987.

国際会議論文

  1. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network," Proc. of the Third International Workshop on Social Computing, Behavioral Modeling, and Prediction (SBP2010), (in press).
  2. Kazuo Aoyama, Shinji Watanabe, Hiroshi Sawada, Yasuhiro Minami, Naonori Ueda, and Kazumi Saito, "Fast Similarity Search on a Large Speech Data Set with Neighborhood Graph Indexing, " Proc. of the 35th International Conference on Acoustics, Speech, and Signal Processing (ICASSP2010), (in press).
  3. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis," Proc. of the First Asian Conference on Machine Learning (ACML2009), pp.322--337, 2009.
  4. Kazumi Saito, Masahiro Kimura and Hiroshi Motoda, "Discovering Influential Nodes for SIS models in Social Networks," Proc. of the 12th International Conference on Discovery Science (DS2009), pp.302--316, 2009.
  5. Masahiro Kimura, Kazumi Saito and Hiroshi Motoda, "Efficient Estimation of Influence Functions for SIS Model on Social Networks," Proc. of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI2009), pp.2046--2051, 2009.
  6. Kazuo Aoyama, Kazumi Saito, Takeshi Yamada, and Naonori Ueda. "Fast Similarity Search in Small-World Networks," Proc. of the First International Workshop on Complex Networks (CompleNet2009), pp.185--196, 2009.
  7. Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masahiro Kimura, and Masayuki Numao, "Growth Analysis of Neighbor Network for Evaluation of Damage Progress," Proc. of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2009), pp.933--940, 2009.
  8. Masahiro Kimura, Kazumi Saito, Ryohei Nakano and Hiroshi Motoda, "Finding Influential Nodes in a Social Network from Information Diffusion Data," Proc. of the Second International Workshop on Social Computing, Behavioral Modeling, and Prediction (SBP2009), pp.138--145, 2009.
  9. Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura and Hiroshi Motoda, "What Does an Information Diffusion Model Tell about Social Network Structure?," Proc. of the 2008 Pacific Rim Knowledge Acquisition Workshop (PKAW2008), pp.288--299, 2008.
  10. Masahiro Kimura, Kazumi Saito and Hiroshi Motoda, "Solving the Contamination Minimization Problem on Networks for the Linear Threshold Model," Proc. of the 10th Pacific Rim International Conference on Artificial Intelligence (PRICAI2008), pp.977--984, 2008.
  11. Kazumi Saito Masahiro Kimura and Hiroshi Motoda, "Effective Visualization of Information Diffusion Process over Complex Networks," Proc. of the 18th European Conference on Machine Learning (ECML2008), PART II, LNAI 5212, pp.326--341, 2008.
  12. Kazumi Saito, Ryohei Nakano and Masahiro Kimura, "Prediction of Information Diffusion Probabilities for Independent Cascade Model," Proc. of the 12th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2008), PART III, LNAI 5179, pp.41--49, 2008.
  13. Kazumi Saito, Nobuaki Mutoh, Tetsuo Ikeda, Toshinao Goda, Kazuki Mochizuki, "Improving Search Efficiency of Incremental Variable Selection by Using Second-order Optimal Criterion," Proc. of the 12th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2008), PART III, LNAI 5179, pp.67--75, 2008.
  14. Masahiro Kimura, Kazumi Saito and Hiroshi Motoda, "Minimizing the Spread of Contamination by Blocking Links in a Network," Proc. of the Twenty-Third Conference on Artificial Intelligence (AAAI2008), pp.1175--1180, 2008.
  15. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao, "Sequence-based SOM: Visualizing Transition of Dynamic Clusters," Proc. of the IEEE 8th International Conference on Computer and Information Technology (CIT2008), on CD-ROM, 2008.
  16. Masahiro Kimura, Kazumasa Yamakawa, Kazumi Saito and Hiroshi Motoda, "Community Analysis of Influential Nodes for Information Diffusion on a Social Network," Proc. of the International Joint Conference on Neural Networks (IJCNN2008), pp.1359--1364, 2008.
  17. Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, and Masayuki Numao, "Combining Burst Extraction Method and Sequence-based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell," Proc. of the annual IEEE International Conference on Tools with Artificial Intelligence (ICTAI2007), Vol.2, pp.193--196, 2007.
  18. Kazumi Saito, Ryohei Nakano and Masahiro Kimura, "Prediction of link attachment by estimating probabilities of information propagation," Proc. of the 11th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2007), LNAI, Vol.4694, pp.235--242, 2007.
  19. Manabu Kimura, Kazumi Saito and Naonori Ueda, "Pivot learning for efficient similarity search," Proc. of the 11th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2007), LNAI, Vol.4694, pp.227--234, 2007.
  20. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao, "Interpretable likelihood for vector representable topic," Proc. of the 11th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2007), LNAI, Vol.4694, pp.202--209, 2007.
  21. Pablo A. Estevez, Pablo A. Vera and Kazumi Saito, "Selecting the most influential nodes in social networks." Proc. of the International Joint Conference on Neural Networks (IJCNN2007), pp.2397--2402, 2007.
  22. Masahiro Kimura, Kazumi Saito and Ryohei Nakano, "Extracting influential nodes for information diffusion on a social network," Proc. of the Twenty-Second Conference on Artificial Intelligence (AAAI2007), pp.1371--1376, 2007.
  23. Tomoharu Iwata, Kazumi Saito and Takeshi Yamada, "Modeling user behavior in recommender systems based on maximum entropy," Proc. of the 16th International World Wide Web conference (WWW2007), 1281--1282, 2007.
  24. Akinori Fujino, Naonori Ueda, and Kazumi Saito, "Semi-supervised Learning for Multi-component Data Classification," Proc. of the Twentieth International Joint Conference of Artificial Intelligence (IJCAI2007), pp.2754--2759, 2007.
  25. Kazumi Saito, Takeshi Yamada, and Kazuhiro Kazama, "Extracting Communities from Complex Networks by the k-dense method," Proc. of the ICDM2006 Workshop on Mining Complex Data (MCD2006), 300--304, 2006.
  26. Yusuke Tanahashi, Kazumi Saito, Daisuke Kitakoshi and Ryohei Nakano, "Finding Nominally Conditioned Multivariate Polynomials using a Four-layer Perceptron Having Shared Weights," Proc. of the 10th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2006), LNCS, Vol.4252, pp.969--976, 2006.
  27. Kazumi Saito and Ryohei Nakano, "Improving Convergence Performance of PageRank Computation based on Step-length Calculation Approach," Proc. of the 10th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2006), LNCS, Vol.4252, pp.945--952, 2006.
  28. Masahiro Kimura and Kazumi Saito, "Approximate Solutions for the Influence Maximization Problem in a Social Network," Proc. of the 10th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2006) , LNCS, Vol.4252, pp.937--944, 2006.
  29. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao, "Visualization Architecture Based on SOM for Two-Class Sequential Data," Proc. of the 10th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2006), LNCS, Vol.4252, pp.929--936, 2006.
  30. Masahiro Kimura and Kazumi Saito. "Tractable models for information diffusion in social networks," Proc. of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD2006), LNAI, Vol.4213, 259--271, 2006.
  31. Tomoharu. Iwata, Kazumi Saito and Takeshi. Yamada, "Recommendation Method for Extending Subscription Periods," Proc. of the 12th International Conference on Knowledge Discovery and Data Mining (KDD2006), pp.574--579, 2006.
  32. Tomoharu Iwata, Kazumi Saito, and Naonori Ueda, "Visual nonlinear discriminant analysis for classifier design," Proc. of the 14th European Symposium on Artificial Neural Networks (ESANN2006) 283--288, 2006.
  33. Takeshi Yamada, Kazumi Saito, and Kazuhiro, Kazama, "Network Analyses to understand the structure of Wikipedia," Proc. of the Adaptation in Artificial and Biological systems (AISB2006), Vol.3, pp.195--198, 2006.
  34. Akinori Fujino, Naonori Ueda, and Kazumi Saito, "A Classifier Design based on Combining Multiple Components by Maximum Entropy Principle," Proc. of the 2nd Asia Information Retrieval Symposium (AIRS2005), pp.423--438, 2005.
  35. Yusuke Tanahashi, Kazumi Saito, and Ryohei Nakano, "Model Selection and Weight Sharing of Multi-layer Perceptrons," Proc. of the 9th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2005), LNCS, Vol.3684, pp.716--722, 2005.
  36. Masahiro Kimura, Kazumi Saito, Kazuhiro Kazama, and Shin-ya Sato, "Detecting Search Engine Spam from a Trackback Network in Blogspace," Proc. of the 9th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2005), LNCS, Vol.3684, pp.723--729, 2005.
  37. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao, "Visualizing Dynamics of the Hot Topic Using Sequence-Based Self-organizing Maps," Proc. of the 9th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2005), LNCS, Vol.3684, pp.745--751, 2005.
  38. Kazumi Saito and Naonori Ueda, "Filtering Search Engine Spam based on Anomaly Detection Approach," Proc. of the KDD2005 Workshop on Data Mining Methods for Anomaly Detection, pp.62--67, 2005.
  39. Akinori Fujino, Naonori Ueda, and Kazumi Saito, "A Hybrid Generative /Discriminative Approach to Semi-Supervised Classifier Design," Proc. of the 20th National Conference on Artificial Intelligence (AAAI2005), pp.764--769, 2005.
  40. Masahiro Kimura, Kazumi Saito and Naonori Ueda, "Multinomial PCA for Extracting Major Latent Topics from Document Streams," Proc. of the International Joint Conference on Neural Networks (IJCNN2005), pp.238--243, 2005.
  41. Kazumi Saito and Ryohei Nakano, "Weight Sharing on Naive Bayes Document Model," Proc. of the International Joint Conference on Neural Networks (IJCNN2005), pp.576--581, 2005.
  42. Yusuke Tanahashi, Xiang-Fang Chin, Kazumi Saito, and Ryohei Nakano, "Finding a Succinct Multi-layer Perceptron Having Shared Weights," Proc. of the International Joint Conference on Neural Networks (IJCNN2005), pp.1418--1423, 2005.
  43. Pablo A. Estevez, Cristian J. Figueroa and Kazumi Saito. "Cross-Entropy Approach to Data Visualization Based on the Neural Gas Network," Proc. of the International Joint Conference on Neural Networks (IJCNN2005), pp.2724--2729, 2005.
  44. Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, and Joshua B. Tenenbaum, "Parametric Embedding for Class Visualization," Neural Information Processing Systems 17 (NIPS 2004), pp.617--624, 2004.
  45. Yusuke Tanahashi, Kazumi Saito, and Ryohei Nakano, "Piecewise Multivariate Polynomials Using Four-Layer Perceptron," Proc. of the 8th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2004), LNAI, Vol.3214, pp.602--608, 2004.
  46. Yuji Kaneda, Naonori Ueda, and Kazumi Saito, "Extended Parametric Mixture Model for Robust Multi-labeled Text Categorization," Proc. of the8th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2004), LNAI, Vol.3214, pp.616--623, 2004.
  47. Tomoharu Iwata and Kazumi Saito, "Visualization of Anomaly Using Mixture Model," Proc. of the8th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2004), LNAI, Vol.3214, pp.624--631, 2004.
  48. Kazumi Saito and Ryohei Nakano, "Extracting Characteristic words of text using neural networks," Proc. of the International Joint Conference on Neural Networks (IJCNN2004), pp.1397--1402, 2004.
  49. Naonori Ueda and Kazumi Saito. "Simplex Mixture Models for Multi-topic Text," Proc. of the 30th Anniversary of the Information Criterion (AIC2003), pp.380--381, 2003.
  50. Masahiro Kimura, Kazumi Saito, and Naonori Ueda. "Modeling of Growing Networks with Directional Attachment and Communities," Proc. of European Symposium on Artificial Neural Networks (ESANN2003), pp.15--20, 2003.
  51. Takeshi Yamada, Kazumi Saito, and Naonori Ueda. "Cross-Entropy Directed Embedding of Network Data," Proc. of the 20th International Conference on Machine Learning (ICML2003), pp.832--839, 2003.
  52. Masahiro Kimura, Kazumi Saito, and Naonori Ueda. "Modeling Share Dynamics by Extracting Competition Structure," Proc. of the 30th Anniversary of the Information Criterion (AIC2003) , pp.366--367, 2003.
  53. Pat Langley, Dileep George, Stephen Bay, and Kazumi Saito. "Robust Induction of Process Models from Time-Series Data," Proc. of the 20th International Conference on Machine Learning (ICML2003), pp.432--439, 2003.
  54. Dileep George, Kazumi Satio, Pat Langley, Stephen Bay, and Kevin R. Arrigo. "Discovering Ecosystem Models from Time-Series Data," Proc. of the 6th International Conference on Discovery Science (DS2003), pp.141--152, 2003.
  55. Kazumi Saito, Dileep George, Stephen Bay, and Jeff Shrager. "Inducing Biological Models from Temporal Gene Expression Data," Proc. of the 6th International Conference on Discovery Science (DS2003), pp.468--469, 2003.
  56. Naonori Ueda and Kazumi Saito, "Parametric Mixture Models for Multi-labeled text," Neural Information Processing Systems 17 (NIPS2002), pp. 737--744, 2002.
  57. Kazumi Saito and Ryohei Nakano, "Structuring Neural Networks through Bidirectional Clustering of Weights," Proc. of the 5th International Conference on Discovery Science (DS2002), pp.206--219, 2002.
  58. Kazumi Saito, Stephen Bay, and Pat Langley, "Revising Qualitative Models of Gene Regulation," Proc. of the 5th International Conference on Discovery Science (DS2002), pp.59--70, 2002.
  59. Masahiro Kimura, Kazumi Saito, and Naonori Ueda, "Modeling of Growing Networks with Communities," Proc. of IEEE International Workshop on Neural Networks for Signal Processing (NNSP2002), pp.189--198, 2002.
  60. Naonori Ueda and Kazumi Saito, "Single-shot Detection of Multi-category of Text using Parametric Mixture Models," Proc. of the 8th International Conference on Knowledge Discovery and Data Mining (KDD2002), pp.626--631, 2002.
  61. Kazumi Saito and Pat Langley, "Discovering Empirical Laws of Web Dynamics," Proc. of the 2002 Symposium on Applications and the Internet (SAINT2002), pp.168--175, 2002.
  62. Ryohei Nakano and Kazumi Saito, "Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variable," Proc. of the 4th International Conference on Advances in Intelligent Data Analysis (IDA2001), Vol.LNCS2189, pp.258--267, 2001.
  63. Kazumi Saito, Pat Langley, Trond Grenager, and Christpher Potter, "Computational Revision of Quantitative scientific models," Proc. of the 3rd International Conference on Discovery Science (DS2001), Vol.LNAI2226, pp.336--349, 2001.
  64. Kazumi Saito and Ryohei Nakano, "Discovery of a set of nominally conditioned polynomials using neural networks, vector quantizers, and decision trees," Proc. of the 3rd International Conference on Discovery Science (DS2000), pp.325--329, 2000.
  65. Kazumi Saito and Ryohei Nakano, "Discovery of relevant weights by minimizing cross-validation error," Proc. of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2000), pp.372--375, 2000.
  66. K.Saito, N.Ueda, S.Katagiri, Y.Fukai, H.Fujimaru, and M.Fujinawa, "Law discovery from financial data using neural networks," Proc of IEEE/IAFE/INFORMS Conference on Computational Intelligence for Financial Engineering (CIFEr2000), pp.209--212, 2000.
  67. Ryohei Nakano and Kazumi Saito, "Discovery of a set of nominally conditioned polynomials," Proc. of the 2nd International Conference on Discovery Science (DS1999), pp.287--298, 1999.
  68. Ryohei Nakano and Kazumi Saito, "Computational characteristics of law discovery using neural networks," Proc. of the 1st International Conference on Discovery Science (DS1998), pp.342--351, 1998.
  69. Kazumi Saito and Ryohei Nakano, "Numeric Law Discovery Using Neural Networks," Proc. of the 4th International Conference on Neural Information Processing (ICONIP1997), pp.843--846, 1997.
  70. Kazumi Saito and Ryohei Nakano, "Law discovery using neural networks," Proc. of the 15th International Joint Conference on Artificial Intelligence (IJCAI1997), pp.1078--1083, 1997.
  71. Kazumi Saito and Ryohei Nakano, "MDL Regularizer: A New Regularizer based on MDL Principle," Proc. of International Conference on Neural Networks (ICNN1997), pp.1833--1838, 1997.
  72. Kazumi Saito and Ryohei Nakano, "Law discovery using neural networks," Proc. of NIPS'96 Rule-Extraction Workshop, pp.62--69, 1996.
  73. Kazumi Saito and Ryohei Nakano, "Second-order learning algorithm with squared penalty term," Neural Information Processing Systems 11 (NIPS1996), pp.627--633, 1996.
  74. Kazumi Saito and Ryohei Nakano, "A constructive learning algorithm for an HME," Proc. of International Conference on Neural Networks (ICNN1996), pp.1268--1273, 1996.
  75. Ryohei Nakano, Naonori Ueda, Kazumi Saito and M. Takahashi, "Wall map building from fragmentary sonar data," Proc. of RoboLearn '96 Workshop, pp.84--89, 1996.
  76. Ryohei Nakano, Naonori Ueda, Kazumi Saito and Takeshi Yamada, "Parrot-like speaking using optimal vector quantization," Proc. of International Conference on Neural Networks (ICNN1995), pp.2871--2875, 1995.
  77. Kazumi Saito, Ryohei Nakano, "Adaptive Concept Learning Algorithm," IFIP 13th World Computer Congress 94, Vol.1, pp.294--299, 1994.
  78. Ryohei Nakano, Kazumi Saito, Masakatsu Ohta and S.I. Gallant, "DREAM: A heuristic approach to hypersphere minimum covering," Proc. of International Conference on Artificial Neural Networks (ICANN1991), pp.427--432, 1991.
  79. Kazumi Saito and Ryohei Nakano, "Rule extraction from facts and neural nets," Proc. of International Neural Networks Conference (INNC1990), pp.379--382, 1990.
  80. Kazumi Saito and Ryohei Nakano, "Medical diagnostic expert system based on PDP model," Proc. of International Conference on Neural Networks (ICNN1988), pp.255--262, 1988.

機関論文誌

  1. 斉藤 和巳, "ニューラルネットを用いたテキストの特徴語抽出," 経営と情報, Vol.20, No.1, 17--28, 2007.
  2. 藤野 昭典，上田 修功，斉藤 和巳, "テキスト自動分類のための半教師あり学習技術," NTT技術ジャーナル, Vol.19, No.6, pp. 26-28, 2007.
  3. Kazumi Saito "Multiple Topic Detection by Parametric Mixture Models (PMM) - Automatic Web Page Categorization for Browsing, " NTT Technical Review, Vol.3, No.3, 15-18, 2005.
  4. 斉藤 和巳, "パラメトリック混合モデル（PMM）による多重トピック抽出," NTT技術ジャーナル, Vol.16, No.6, pp.10--13, 2004.
  5. 斉藤 和巳, 中野 良平, "ニューラルネットを用いた法則発見," NTT R&D, Vol.46, No.6, pp.547--552, 1997.
  6. 斉藤 和巳, 中野 良平, "数値データに潜む法則を発見 -ニューラルネット応用技術(RF5)-," NTT技術ジャーナル, Vol.9, No.5, pp.104--107, 1997.
  7. 中野 良平, 上田修功, 斉藤 和巳, 山田武士, "学習機構の研究," NTT R&D, Vol.42, No.9, pp.1175--1184, 1993.
  8. 中野 良平, 斉藤 和巳, "知識(ルール)獲得とは? -人工知能の実現する概念学習の研究から-," NTT技術ジャーナル, Vol.3, No.9, pp.68--71, 1991.
  9. 中野 良平, 斉藤 和巳, 小浜千恵, "知識表現・知識獲得基本技術," NTT R&D, Vol.39, No.3, pp.447--456, 1990.

ブックチャプター

  1. Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura and Hiroshi Motoda, " What Does an Information Diffusion Model Tell about Social Network Structure?," In R. Goebel, J. Siekmann, and W. Wahlster eds., Knowledge Acquisition: Approaches, Algorithms and Applications, Springer, pp.122-136, 2009.
  2. Kazumi Saito, Takeshi Yamada and Kazuhiro Kazama, " The k-dense method to extract communities from complex networks," In D. A. Zighed, S. Tsumoto, Z. W. Ras, and H. Hacid eds., Mining Complex Data, Studies in Computational Intelligence, pp.243--257, Springer, 2008.
  3. 斉藤 和巳, "ネットワークの可視化技術 -大規模情報からの意味情報の抽出-," 青山秀明, 相馬亘, 藤原義久編, ネットワーク科学への招待 世界の"つながり"を知る科学と思考, 臨時別冊・数理科学SGCライブラリ65, pp.166--171, サイエンス社, 2008.
  4. Kazumi Saito and Pat Langley, "Quantitative revision of scientific models," In S.Dzeroski, L.Todorovski, eds., Computational discovery of communicable scientific knowledge, Vol.LNCS4660, Springer, pp.120--137, 2007.
  5. 斉藤和巳, "学習結果はどう評価されるべきか：訓練例とテスト例（囲み記事）," "学習結果の評価," "代表的なベンチマーク," "クロスバリデーション（交差検定）," 人工知能学会編, 人工知能学事典, pp.276, pp.299--301, 共立出版, 2005.
  6. Ryohei Nakano and Kazumi Saito, "Discovering Polynomials to Fit Multivariate Data Having Numeric and Numinal Variables," In S.Arikawa, A.Shinohara, eds., Progress in Discovery Science, Vol.LNAI2281, pp.482--493, Springer, 2002.
  7. Pat Langley, Jeff Shrager, and Kazumi Saito, " Computational discovery of communicable scientific knowledge," In L.Magnani, N.J.Nersessian, and C.Pizzi, eds., Logical and computational aspects of model-based reasoning, pp.201--226, Springer, 2002.
  8. 中野 良平, 斉藤 和巳, "多変量データからの多項式型法則の発見," 森下, 宮野編, 発見科学とデータマイニング, pp.217--227, 共立出版, 2000.
  9. Kazumi Saito and Ryohei Nakano, "A connectionist approach to numeric law discovery," In K.Furukawa, D.Michie, and S.Muggleton, eds., Machine Intelligence 15 Intelligent Agents (MI15), pp.315--327, Oxford Press, 1999.
  10. Kazumi Saito and Ryohei Nakano, "A concept learning algorithm with adaptive search," In K.Furukawa, D.Michie, and S.Muggleton, eds., Machine Intelligence 14 Applied Machine Intelligence (MI14), pp.347--363, Oxford Press, 1993.

解説・総説・展望等

  1. 斉藤 和巳, "ウェブサイエンス入門," 理大 科学フォーラム, (in press).
  2. 斉藤 和巳, "ネットワークの可視化技術 -大規模情報からの意味情報の抽出-," 数理科学, No.536, pp.78--83, 2008.
  3. 上田 修功, 斉藤 和巳, "多重トピックテキストの確率モデル -テキストモデル研究の最前線(2)-," 情報処理, Vol.45, No3, pp.282--289, 2004.
  4. 上田 修功, 斉藤 和巳, "多重トピックテキストの確率モデル -テキストモデル研究の最前線(1)-," 情報処理, Vol.45, No2, pp.184--190, 2004.
  5. 斉藤 和巳, "ニューラルネットによるデータマイニング," 応用数理学会誌, Vol.12, No.4, pp.45--53, 2002
  6. 斉藤 和巳, "私の本棚「機械学習」," 人工知能学会誌, Vol.17, No.2, pp.246--248, 2002
Last modified on: Wed. Feb. 24 2010.