1. ACML 2009: Nanjing, China

Keynote and Invited Talks

• Thomas G. Dietterich:
  Machine Learning and Ecosystem Informatics: Challenges and Opportunities. 1-5
  
• Masashi Sugiyama:
  Density Ratio Estimation: A New Versatile Tool for Machine Learning. 6-9
  
• Qiang Yang:
  Transfer Learning beyond Text Classification. 10-22
  

Regular Papers

• Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà:
  Improving Adaptive Bagging Methods for Evolving Data Streams. 23-37
  
• Remco R. Bouckaert:
  A Hierarchical Face Recognition Algorithm. 38-50
  
• Wray L. Buntine:
  Estimating Likelihoods for Topic Models. 51-64
  
• Eibe Frank, Remco R. Bouckaert:
  Conditional Density Estimation with Class Probability Estimators. 65-81
  
• Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma, Kenji Aoki, Takayuki Nakata:
  Linear Time Model Selection for Mixture of Heterogeneous Components. 82-97
  
• Yuhong Guo:
  Max-margin Multiple-Instance Learning via Semidefinite Programming. 98-108
  
• Yuhong Guo, Dale Schuurmans:
  A Reformulation of Support Vector Machines for General Confidence Functions. 109-119
  
• Ran He, Bao-Gang Hu, Xiaotong Yuan:
  Robust Discriminant Analysis Based on Nonparametric Maximum Entropy. 120-134
  
• Derek Hao Hu, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen:
  Context-Aware Online Commercial Intention Detection. 135-149
  
• Qinghua Hu, Xunjian Che, Jinfu Liu:
  Feature Selection via Maximizing Neighborhood Soft Margin. 150-161
  
• Lei Jia, Shizhong Liao:
  Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix. 162-175
  
• Qixia Jiang, Yan Zhang, Maosong Sun:
  Community Detection on Weighted Networks: A Variational Bayesian Method. 176-190
  
• Mori Kurokawa, Hiroyuki Yokoyama, Akito Sakurai:
  Averaged Naive Bayes Trees: A New Extension of AODE. 191-205
  
• Gayle Leen, David R. Hardoon, Samuel Kaski:
  Automatic Choice of Control Measurements. 206-219
  
• Bo Li, Hong Chang, Shiguang Shan, Xilin Chen:
  Coupled Metric Learning for Face Recognition with Degraded Images. 220-233
  
• Qiu-jie Li, Yao-bin Mao, Zhi-quan Wang, Wen-bo Xiang:
  Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model. 234-247
  
• Xin Li, William K. Cheung, Jiming Liu:
  On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression. 248-262
  
• Yan Li, Edward Hung:
  Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes. 263-277
  
• Krikamol Muandet, Sanparith Marukatat, Cholwich Nattee:
  Query Selection via Weighted Entropy in Graph-Based Semi-supervised Classification. 278-292
  
• Manas A. Pathak, Eric Nyberg:
  Learning Algorithms for Domain Adaptation. 293-307
  
• Wei Qu, Yang Zhang, Junping Zhu, Qiang Qiu:
  Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble. 308-321
  
• Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
  Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis. 322-337
  
• Jun Sakuma, Rebecca N. Wright:
  Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection. 338-353
  
• Jeong Woo Son, Hyun-Je Song, Seong-Bae Park, Se-Young Park:
  Coping with Distribution Change in the Same Domain Using Similarity-Based Instance Weighting. 354-366
  
• Guy Van den Broeck, Kurt Driessens, Jan Ramon:
  Monte-Carlo Tree Search in Poker Using Expected Reward Distributions. 367-381
  
• Han Xiao, Xiaojie Wang, Chao Du:
  Injecting Structured Data to Generative Topic Model in Enterprise Settings. 382-395
  
• Jiho Yoo, Seungjin Choi:
  Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction. 396-411
  

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