Table of Contents

• Machine Learning and Ecosystem Informatics: Challenges and OpportunitiesThomas G. Dietterich. 1-5 [doi]
• Density Ratio Estimation: A New Versatile Tool for Machine LearningMasashi Sugiyama. 6-9 [doi]
• Transfer Learning beyond Text ClassificationQiang Yang. 10-22 [doi]
• Improving Adaptive Bagging Methods for Evolving Data StreamsAlbert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà. 23-37 [doi]
• A Hierarchical Face Recognition AlgorithmRemco R. Bouckaert. 38-50 [doi]
• Estimating Likelihoods for Topic ModelsWray L. Buntine. 51-64 [doi]
• Conditional Density Estimation with Class Probability EstimatorsEibe Frank, Remco R. Bouckaert. 65-81 [doi]
• Linear Time Model Selection for Mixture of Heterogeneous ComponentsRyohei Fujimaki, Satoshi Morinaga, Michinari Momma, Kenji Aoki, Takayuki Nakata. 82-97 [doi]
• Max-margin Multiple-Instance Learning via Semidefinite ProgrammingYuhong Guo. 98-108 [doi]
• A Reformulation of Support Vector Machines for General Confidence FunctionsYuhong Guo, Dale Schuurmans. 109-119 [doi]
• Robust Discriminant Analysis Based on Nonparametric Maximum EntropyRan He, Bao-Gang Hu, Xiaotong Yuan. 120-134 [doi]
• Context-Aware Online Commercial Intention DetectionDerek Hao Hu, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. 135-149 [doi]
• Feature Selection via Maximizing Neighborhood Soft MarginQinghua Hu, Xunjian Che, Jinfu Liu. 150-161 [doi]
• Accurate Probabilistic Error Bound for Eigenvalues of Kernel MatrixLei Jia, Shizhong Liao. 162-175 [doi]
• Community Detection on Weighted Networks: A Variational Bayesian MethodQixia Jiang, Yan Zhang, Maosong Sun. 176-190 [doi]
• Averaged Naive Bayes Trees: A New Extension of AODEMori Kurokawa, Hiroyuki Yokoyama, Akito Sakurai. 191-205 [doi]
• Automatic Choice of Control MeasurementsGayle Leen, David R. Hardoon, Samuel Kaski. 206-219 [doi]
• Coupled Metric Learning for Face Recognition with Degraded ImagesBo Li, Hong Chang, Shiguang Shan, Xilin Chen. 220-233 [doi]
• Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression ModelQiujie Li, Yaobin Mao, Zhi Quan Wang, Wen-bo Xiang. 234-247 [doi]
• On Compressibility and Acceleration of Orthogonal NMF for POMDP CompressionXin Li, William K. Cheung, Jiming Liu. 248-262 [doi]
• Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classesYan Li, Edward Hung. 263-277 [doi]
• Query Selection via Weighted Entropy in Graph-Based Semi-supervised ClassificationKrikamol Muandet, Sanparith Marukatat, Cholwich Nattee. 278-292 [doi]
• Learning Algorithms for Domain AdaptationManas A. Pathak, Eric Nyberg. 293-307 [doi]
• Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier EnsembleWei Qu, Yang Zhang, Junping Zhu, Qiang Qiu. 308-321 [doi]
• Learning Continuous-Time Information Diffusion Model for Social Behavioral Data AnalysisKazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda. 322-337 [doi]
• Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute SelectionJun Sakuma, Rebecca N. Wright. 338-353 [doi]
• Coping with Distribution Change in the Same Domain Using Similarity-Based Instance WeightingJeong Woo Son, Hyun-Je Song, Seong-Bae Park, Se-Young Park. 354-366 [doi]
• Monte-Carlo Tree Search in Poker Using Expected Reward DistributionsGuy Van den Broeck, Kurt Driessens, Jan Ramon. 367-381 [doi]
• Injecting Structured Data to Generative Topic Model in Enterprise SettingsHan Xiao, Xiaojie Wang, Chao Du. 382-395 [doi]
• Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative PredictionJiho Yoo, Seungjin Choi. 396-411 [doi]