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) に関する勉強会.
火曜日: データマイニング・機械学習・リンク解析関連のテュートリアル/入門書の輪講
金曜日: データマイニング・機械学習・リンク解析の文献紹介
日時
時間: 火, 金曜日 17:00-18:30
場所: A707
2007年度輪読
2007年度研究/文献紹介
2/29 (金) 松本
Zheng Zhao and Huan Liu,
Spectral Feature Selection for Supervised and Unsupervised Learning,
ICML-2007 PDF
2/15 (金) 新保
主に、系列ラベリングのテュートリアル
2/8 (金) 水野
Yee Seng Chan and Hwee Tou Ng
Domain Adaptation with Active Learning for Word Sense Disambiguation
ACL 2007
2/1 (金) 木村
1/25 (金) 渡邉
Amir Globerson, Terry Koo, Xavier Carreras, and Michael Collins
Exponentiated Gradient Algorithms for Log-Linear Structured Prediction
ICML 2007 PDF
1/18 (金) 原
Dan Klein and Chris Manning
Factored A* Search for Models over Sequences and Trees
In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) 2003 PDF
1/11 (金) 新保
リンク解析とグラフ節点カーネルのテュートリアル
12/14 (金) 水野
Takashi Onoda, and Hiroshi Murata, and Seiji Yamada
Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD
IJCNN2006 PDF
12/7 (金) 松本
Nam Nguyen and Yunsong Guo
Comparisons of Sequence Labeling Algorithms and Extensions
ICML-2007 PDF
11/30 (金) 谷口
進捗報告
11/13 (火) 森田
Bin Li, Mingmin Chi, Jianping Fan, Xiangyang Xue
"Support Cluster Machine"
ICML2007
ACM International Conference Proceeding Series; Vol. 227
Proceedings of the 24th international conference on Machine learning PDF
11/9 (金) 渡邉/大熊
Hal Daume III and Daniel Marcu
"Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction"
International Conference on Machine Learning 2005. PDF
11/2 (金) 鈴木
Jerome H. Friedman
"On Bias, Variance, 0/1-Loss, and the Curse-of-Dimensionality"
Data Mining and Knowledge Discovery 1, 55–77 (1997). PDF
10/26 (金) 大熊
Parag Singla, Pedro Domingos
"Discriminative Training of Markov Logic Networks"
2005, American Association for Artificial Intelligence. PDF
10/19 (金) 木村
7/24 (火)
7/17 (火)
7/10 (火)
6/12 (火) 原
Daniel M. Bikel
"Intricacies of Collins’ Parsing Model. "
Computational Linguistics, 30(4), pp. 479-511, 2004. PDF
6/5 (火) 谷口
Kamil Adiloglu,Thomas Noll and Klaus Obermayer
"A Paradigmatic Approach to Extract the Melodic Structure of a Musical Piece "
Journal of New Music Research,2006,Vol.35,No.3,pp.221-236.PDF
5/29 (火) 新保
Zhou, D. Schoelkopf, B.
"A regularization framework for learning from graph data."
2004 Workshop on Statistical Relational Learning.
5/22 (火) 木村
Benjamin Bustos and Gonzalo Navarro and Edgar Chavez.
"Pivot selection techniques for proximity searching in metric spaces."
Pattern Recognition Letters, 24, 2003, 2357-2366.
5/15 (火) 乾
Choi, Yejin and Cardie, Claire.
"Structured Local Training and Biased Potential Functions for Conditional Random Fields with Application to Coreference Resolution."
NAACL 2007
5/8 (火) 渡邉
Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang and Wei-Ying Ma.
"Simultaneous Record Detection and Attribute Labeling in Web Data Extraction."
KDD 2006. PDF
4/24 (火) 松本
Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner
Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields
NIPS-2006 PDF
Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
COLING/ACL-2006 PDF
4/17 (火) 原
N. Cesa-Bianchi, A. Conconi, and C. Gentile
A Second-Order Perceptron Algorithm
SIAM Journal on Computing, 34(3):640-668. SIAM, 2005. PDF
4/ 3 (火) 東
進捗報告