概要
データマイニング (data mining; DM) と機械学習 (machine learning; ML) とリンク解析/線形代数 (link analysis/linear algebra; LA) と人工知能 (artificial intelligence; AI) と情報抽出 (information extraction; IE) に関する勉強会.
火曜日: データマイニング・機械学習・リンク解析・人工知能・情報抽出関連の文献紹介
金曜日: データマイニング・機械学習・リンク解析・人工知能・情報抽出関連のテュートリアル/入門書の輪講
日時
時間: 火, 金曜日 17:00-18:30
場所: A707
2006年度
文献紹介, 研究の進捗発表
12/19 (火) 文献紹介：原
Koby Crammer and Yoram Singer.
Ultraconservative online algorithms for multiclass problems.
COLT 2001.
12/12 (火) アルゴリズム紹介：Natalia
Sequential Minimal Optimization
12/5 (火) 文献紹介：木村
L. Mico, J. Oncina, and E. Vidal.
A new version of the nearest-neighbor approximating and eliminating search (AESA) with linear preprocessing-time and memory requirements.
Pattern Recognition Letters, 15:9-17, 1994.
11/17 (金) 文献紹介: Harendra
11/14 (火) 文献紹介:谷口
11/10 (金) 文献紹介:松本
11/07 (火) 文献紹介:Natalia
Koby Crammer and Michael Kearns and Jennifer Wortman
Learning from Data of Variable Quality
Proceedings of the Eighteenth Annual Conference on Neural Information Processing Systems (NIPS), 2005
10/31 (火) 文献紹介: 浅原 (進捗報告:近藤)
Daisuke Okanohara, Yusuke Miyao, Yoshimasa Tsuruoka and Jun'ichi Tsujii
Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition
COLING-ACL 2006
10/27 (金) 文献紹介:中川
Ralf Herbrich and Thore Graepel
Large Scale Bayes Point Machines
In Advances in Neural Information System Processing 13, 2001.
http://www.research.microsoft.com/~rherb/papers/hergrae00c.ps.gz
10/24 (火) 文献紹介:近藤 (進捗報告:新保)
Kamal Nigam and Rayid Ghani.
Analyzing the Effectiveness and Applicability of Co-training
Ninth International Conference on Information and Knowledge Management(CIKM 2000)
10/20 (金) 渡邉
B. Taskar, P. Abbeel and D. Koller.
Discriminative Probabilistic Models for Relational Data
Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI 2002)
10/13 (金) 木村
Sergey Brin
Near neighbor search in large metric spaces
In Proceedings of the 21st International Conference on Very Large Data Bases (VLDB 1995)
10/10 (火) 伊藤
Thomas Hofmann
The Cluster-Abstraction Model: Unsupervised Learning of Topic Hierarchies from Text Data (1999)
IJCAI
http://citeseer.ist.psu.edu/hofmann99clusterabstraction.html
10/06 (金) 新保
Y. Li, H. Zarogoza, R. Herbrich, J. Shawe-Taylor, J. Kandola.
The perceptron algorithm with uneven margins.
ICML 2002.
10/04 (火) 原
Sunita Sarawagi
Efficient Inference on Sequence Segmentation Models
ICML 2006
7/21 (金) 新保
Ulf Brefeld and Christoph B\"uscher and Tobias Scheffer.
Multi-View Discriminative Sequential Learning.
Proceedings of the European Conference on Machine Learning (ECML 2005).
2005.
7/18 (火) 近藤
Tomer Hertz, Aharon Bar Hillel and Daphna Weinshall
Learning a Kernel Function for Classification with Small Training Samples
Proceedings of the 23rd International Conference on Machine Learning (ICML 2006)
http://www.icml2006.org/icml_documents/camera-ready/051_Learning_a_Kernel_Fu.pdf
7/11 (火) 原
Lasserre, J. and C. M. Bishop and T. Minka
Principled hybrids of generative and discriminative models
Proceedings 2006 IEEE Conference on Computer Vision and Pattern Recognition
pdf: http://research.microsoft.com/~minka/papers/LasserreBishopMinka06.pdf
7/7 (金) 伊藤
7/4 (火) 木村
Ling Li
Multiclass Boosting with Repartitioning
Proceedings of the 23rd International Conference on Machine Learning (ICML 2006)
http://www.icml2006.org/icml_documents/camera-ready/072_Multiclass_Boosting.pdf
6/27 (火) Natalia
Bianca Zadrozny
Learning and evaluating classifiers under sample selection bias
Proceedings of the 21st International Conference on Machine Learning (ICML 2004)
6/23 (金) 乾
Ando, Rie Kubota
Applying Alternating Structure Optimization to Word Sense Disambiguation
Proceedings of the Tenth Conference on Computational Natural Language Learning 2006
6/20 (火) 東
Ben Tasker, Carlos Guestrin and Daphne Koller
Max-Margin Markov Networks
NIPS, 2003
6/13 (火) 松本
Michael Collins.
An SVM Approach to Natural Language Processing.
参考:
B. Taskar, D. Klein, M. Collins, D. Koller and C. Manning.
Max-Margin Parsing.
In Proc. Empirical Methods in Natural Language Processing (EMNLP04), Barcelona, Spain, July 2004.
5/30 (火) 渡邉
Michael Wick, Aron Culotta, and Andrew McCallum.
Learning Field Compatibilities to Extract Database Records from Unstructured Text.
EMNLP 2006.
5/19 (金) 持橋 (ATR)
John Canny, "GaP: A Factor Model for Discrete Data".
SIGIR 2004
http://www.cs.berkeley.edu/~jfc/papers/04/GAPmodel/SIGIR2004.pdf
Daniel D. Lee and H. Sebastian Seung,
"Algorithms for Non-negative Matrix Factorization".
NIPS 2000.
5/16 (火) 新保
Tom Minka.
Discriminative models, not discriminative training.
Microsoft Research Cambridge, Technical Report TR-2005-144, 2005. Cambridge, UK.
5/12 (金) 小林(の)
Ryan McDonald, Fernando Pereira, Seth Kulick, Scott Winters, Yang Jin, and Pete White
Simple algorithms for complex relation extraction with applications to biomedical IE
ACL 2005
http://www.seas.upenn.edu/~ryantm/papers/relationACL2005.pdf
4/28 (金) 浅原
鈴木 潤 and 磯崎 秀樹
学習誤り最小化に基づく条件付き確率場の学習：言語解析への適用
言語処理学会年次大会 2006
4/25 (火) 新保
Trevor Cohn, Andrew Smith, and Miles Osborne.
Scaling Conditional Random Fields using error-correcting output codes.
In Proceedings of the 43rd Annual Meeting of the ACL, 10-17. 2005.
4/21 (金) 伊藤
Gunes Erkan Dragomir R. Radev
LexPageRank: Prestige in Multi-Document Text Summarization
EMNLP 2004
チュートリアル
D-Lec を兼ねる.
6/16 (金) 新保
クラスタリング
6/9 (金) 伊藤
データマイニング
6/2 (金) 東
最適化
5/26 (金) 浅原
条件付確率場 （系列ラベリング）
5/16 (火) 松本
SVM, カーネル法
5/9 (火) 原
機械学習一般
過去の勉強会
- DMLA
- DataMining勉強会
- SVM勉強会