SVM勉強会/2001年度

1/8 発表者: 中川

• Adaptive Margin Support Vector Machines
• Advances in Large Margin Classifiers
• http://stat.cs.tu-berlin.de/publications/papers/wesher99.ps.gz

1/19 発表者: 工藤

• "A Tutorial on Support Vector Regression. "
• http://www.kernel-machines.org/tutorial.html

1/23 発表者: 高村

• Error-Correcting code を classificationに応用した話

1/27 発表者: 山田

• One Man's Noise is Another Man's Data
• MultiStage Cascading of Multiple Classifiers:
• ICML2000

2/26 発表者: 高村

• Lagrange Method
• 数理計画法 （志水清孝 相吉英太郎 共著）
• 第五章 有制約最適化問題の最適性条件

2/2 発表者: 中川

• Erin L.Allwein, Robert E. Schapire, and Yoram Singer
• "Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers"
• Journal of Machine Learning Research, 1, pp.113-141, 2000 (ICML-2000)
• http://www.research.att.com/~schapire/papers/mult2bin.ps.gz

2/8 発表者: 山田

• Mark D. Happel and Peter Bock, "Analysis of a Fusion Method for
• Combining Marginal Classifiers" , Multiple Classifier System (MCS2000)
• Support Vector Density Estimation
• Advances in Kernel Methods

2/16 発表者: 工藤

• Loo-Nin Teow, Kia-Fock Loe
• "Selection of Support Vector Kernel Parameters for Improved Generalization"
• ICML2000

2/20 発表者: 中川

• Sally Goldman, Yan Zhou
• "Enhancing Supervised Learning with Unlabeled Data"
• ICML2000

2/27 発表者: 山田

• Mark D. Happel and Peter Bock,
• "Analysis of a Fusion Method for Combining Marginal Classifiers" ,
• Multiple Classifier System (MCS2000)

2/12 発表者: 工藤

• Vapnik 流 AdaBoost の解釈 と SVM のアンサンブル学習について
• The Nature of SLT 2nd Edition

4/10: 発表者: 中川

• J.Weston, S.Mukherjee, O.Chapelle, M.Pontil, T.Poggio, V.Vapnik
• "Feature Selection for SVMs"
• Advances in Neural Information Processing Systems 13. MIT Press, 2001
• http://citeseer.nj.nec.com/weston01feature.html

4/17 発表者: 山田

• "Avrim Blum , Tom Mitchell",
• "Combining Labeled and Unlableled Data with Co-Training",
• "Annual Conference on Computational Learning Theory(COLT-98) 1998",

?/?? 発表者: 高村

• "S. Amari and S. Wu",
• "Improving support vector machine classifiers by modifying kernel functions",
• "Neural Networks", 1999
• http://citeseer.nj.nec.com/amari99improving.html

5/10 発表者: 高村

• Tsuda, K.:
• "Subspace Classifier in the Hilbert Space",
• Pattern Recognition Letters, 20, pp. 513 -- 519, 1999 ( gzip'ed PS , 61K).
• http://www.etl.go.jp/~tsudak/
• ヒルベルト空間における部分空間法のお話です。

5/14: 発表者: 中川

• "D. Pavlov and J. Mao and B. Dom",
• "Scaling-up support vector machines using boosting algorithm",
• Submitted to ICPR 2000.",
• http://citeseer.nj.nec.com/295266.html
• http://www.kernel-machines.org/papers/upload_23144_icpr2000.ps

5/18 発表者: 山田

• "T. Jaakkola and M. Meila and T. Jebara",
• "Maximum entropy discrimination",
• "AITR-1668",
• "Massachusetts Institute of Technology, Artificial Intelligence Laboratory",,
• http://citeseer.nj.nec.com/article/jaakkola99maximum.html

6/24 発表者: 工藤

• Robust Ensemble Learning
• Advances in Large Margin Classifers の 11章

5/29 発表者: 高村

• B. Schoelkopf.
• The kernel trick for distances.
• TR MSR 2000-51, Microsoft Research, Redmond, WA, 2000.
• Advances in Neural Information Processing Systems, 2001.
• 内容は、ずっと前に保留した「内積のlogをとっても良いのか」問題と関連していそうです。

5/11 発表者: 山田

• Huma Lodhi John Shawe-Taylor Nello Cristianini Chris Watkins
• "Text Classification using String Kernels"
• NeuroCOLT Technical Report NC-TR-00-079

6/19 発表者: 坪井

• 「5.12 Singular Value Decomposition」
• Matrix Analysis and Applied Linear Algebra (Meyer 2001)
• http://www.matrixanalysis.com/

6/26 発表者: 工藤

• B.~{Sch\"olkopf} and A.~Smola and R.~Williamson and P.~L.~Bartlett
• New Support Vector Algorithms
• Royal Holloway College, NeuroCOLT Technical Report
• Published in {\em Neural Computation} {\bf12}(5):1207--1245, 2000

7/3 発表者: 高村

• 自然勾配法について、ICAの例を通して.

7/11 発表者: 工藤

• Chap. 7. Committee Machines を読みます.
• Neural Networks という本の
• http://www.amazon.co.jp/exec/obidos/ASIN/0132733501/qid=994341027/sr=1-252/249-2684777-3848304

7/19: 発表者: 中川

• Even-Zohar, Yair and Roth, Dan
• A Sequential Model for Multi-Class Classification
• Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing
• Lillian Lee and Donna Harman

• "Parsing with a Single Neuron: Convolution Kernel for Natural Language Problems"

6/19 発表者: 坪井

• Colin Campbell
• Kernel Methods: A Survey of Current Techniques (2000)
• http://citeseer.nj.nec.com/campbell00kernel.html

7/3 発表者: 高村

• "D. Heckerman",
• "A tutorial on learning with bayesian networks",
• "David Heckerman. A tutorial on learning with bayesian networks. Technical Report MSR-TR-95-06, Microsoft Research, Redmond, Washington, 1995. Revised
• http://citeseer.nj.nec.com/heckerman96tutorial.html

• データサイエンスシリーズ 第６巻、データ学習アルゴリズム

10/? 発表者: 松本

• "Colin Campbell",
• "Kernel Methods: A Survey of Current Techniques",
• http://citeseer.nj.nec.com/campbell00kernel.html

11/8 発表者: 高村

• In S. A. Solla, T. K. Leen, and K.-R. Mller (Eds.),
• The Relevance Vector Machine.
• Advances in Neural Information Processing Systems 12, pp. 652-658. Cambridge, Mass: MIT Press.
• http://research.microsoft.com/mlp/rvm/relevance.htm

11/15 発表者: 工藤

• Tong Zhang, Fred Damerau and David Johnson.
• Text Chunking using Regularized Winnow.
• In: Proceedings of ACL-2001, Toulouse, France, 2001.
• http://www.coli.uni-sb.de/~adubey/SNLP/papers/four/ZHANG.PDF

12/4 発表者: 工藤

• Asa Ben-Hur, David Horn, Hava Siegelmann and Vladimir Vapnik
• To be published in the Journal of Machine Learning Research
• Special Issue on "New Perspectives on Kernel Based Learning Methods"
• http://neuron.tau.ac.il/~horn/publications/svc.ps.gz

12/11 発表者: 中川

• B. Schoelkopf, J. Platt, J. Shawe-Taylor, A. J. Smola, and R. C. Williamson:
• "Estimating the support of a high-dimensional distribution",
• Technical Report MSR-TR-99-87, Microsoft Research, 1999,
• http://citeseer.nj.nec.com/sch99estimating.html.

12/11 発表者: 高村

• Relevance Vector Machine その 2

• "L. Douglas Baker and Andrew K. McCallum",
• "Distributional clustering of words for text classification",
• "Proceedings of {SIGIR}-98, 21st {ACM} International Conference on Research and Development in Information Retrieval",
• "ACM Press, New York, US",
• http:/citeseer.nj.nec.com/baker98distributional.html

以下未整理 (情報提供: 中川哲治 沖電気工業(株))

2000/05/12	?		An Introduction to Support Vector Machines (初め)
2000/05/18	?		An Introduction to Support Vector Machines
2000/05/25	?		?
2000/06/15	?		?
2000/06/22	?		?
2000/06/29	?		?
2000/07/13	?		?
2000/07/31	hiroya-y	A Tutorial on Support Vector Machines for Pattern Recognition 2.1 - 2.5
2000/08/03->08/04に変更
2000/08/04	taku-ku		〃 2.6 - 3.1
2000/08/07->中止
2000/08/09	hiroya-t	〃 3.2 - 3.3
2000/08/15	tetsu-na	〃 3.4 - 3.7
2000/08/22	hiroya-y	〃 4 - 4.1
2000/08/24	taku-ku		〃 4.2 - 4.4
2000/08/29	hiroya-t	〃 5 - 5.1.2
2000/09/07	tetsu-na	〃 6 - 6.2
2000/09/10	hiroya-y	〃 7 - 7.2
2000/09/18	?		?
2000/09/20	?		?
2000/09/22	taku-ku		A Tutorial on Support Vector Machines for Pattern Recognition (チュートリアルの輪講終了&合宿の準備)
2000/09/27	?		ブースティング入門(人工知能学会誌)
2000/10/16	?		?
2000/10/24	-		Vapnik講演@理研
2000/11/20->21に変更
2000/11/21	?		?
2000/11/?	hiroya-t	Large Margin Rank Boundaries for Ordinal Regression
2000/12/01	hiroya-t	前回のOrdinal Regressionの続き
2000/12/05	taku-ku		Bounds on Error Expectation for SVM
2000/12/12	?		?
2000/12/15	?		?
2000/12/20(21?)	?		?
2000/12/22	?		?
2000/12/26	?		?
2001/01/09	tetsu-na	?
2001/01/19	?		?
2001/01/23	?		?
2001/01/27	?		?
2001/01/30	?		?
2001/02/02	tetsu-na	?
2001/02/06	hiroya-t	Lagrange Methodについて 数理計画法(志水清孝，相吉英太郎共著)第五章有制約最適化問題の最適性条件
2001/02/13	hiroya-y	Support Vector Density Estimation (Advances in kernel Methods)
2001/02/16	?		?
2001/02/20	?		?
2001/02/23	?		?
2001/02/27	?		?
2001/03/02	?		?
2001/03/13	?		?
2001/03/16->中止
2001/03/18	?		GT(Generalization Theory)集中勉強会開始 (An Introduction to Support Vector Machines?)
2001/03/19	?		?
2001/03/20	?		?
2001/03/21->中止?
2001/03/22	hiroya-t?	Machine Learning Note (http://theory.lcs.mit.edu/~mona/lectures.html)
2001/04/06	hiroya-t	citeseer.nj.nec.com/amari99improving.html
2001/04/10	tetsu-na	feature selection
2001/04/17	?		co-training
2001/04/20	?		?
2001/04/27	taku-ku		SVM^lightの高速化の話
2001/05/08	taku-ku		libsvmのソースを読む
2001/05/10	hiroya-t?	部分空間法に関する論文
2001/05/11->05/10に変更
2001/05/15	tetsu-na	Boost-SMO
2001/05/22	yuuta-t		KL展開の話 わかりやすいパターン認識(石井健一郎，上田修功，他) 6.3 KL展開
2001/05/25	?		?
2001/05/29	?		?
2001/06/12	hiroya-y	Text Classification using String Kernels
2001/06/15	tetsu-na	自分の研究の進捗(日本語形態素解析の実験結果)
2001/06/19	yuuta-t		SVDの話
2001/06/22	matsu		Boostingでrankingを学習する話
2001/06/26	kaoru-ya	MEを使った統計的MT
2001/06/28	taku-ku		NuSVM
2001/07/03	hiroya-t	自然勾配法
2001/07/10	hiroya-y	Dynamic Alignment Kernel
2001/07/19	tetsu-na	?
2001/10/16	yuuta-t?	Kernel Methods: A Survey of Current Techniques
2001/10/18	?		Kernel Methodsの続き?
2001/10/25	?		?
2001/11/01	?		?
2001/11/02	?		?
2001/11/06	?		?
2001/11/08	?		Relevance Vector Machines
2001/11/13	?		ベイズ推定の基礎; A tutorial on learning with bayesian networks, データサイエンスシリーズ第6巻: データ学習アルゴリズム
2001/11/15	?		?
2001/12/04	?		?
2001/12/11	tetsu-na	?
2001/12/13	?		?
2001/12/18	?		Relevance Vector Machinesについて & Distributional Clustering of Words for Text Classification
2002/01/15->17に延期
2002/01/17	?		?
2002/01/22	?		Semi-supervised SVM

• SVM勉強会