ACML C

31 papers

YearTitle / Authors
2009A Hierarchical Face Recognition Algorithm.
Remco R. Bouckaert
2009A Reformulation of Support Vector Machines for General Confidence Functions.
Yuhong Guo, Dale Schuurmans
2009Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix.
Lei Jia, Shizhong Liao
2009Advances in Machine Learning, First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings
Zhi-Hua Zhou, Takashi Washio
2009Automatic Choice of Control Measurements.
Gayle Leen, David R. Hardoon, Samuel Kaski
2009Averaged Naive Bayes Trees: A New Extension of AODE.
Mori Kurokawa, Hiroyuki Yokoyama, Akito Sakurai
2009Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes.
Yan Li, Edward Hung
2009Community Detection on Weighted Networks: A Variational Bayesian Method.
Qixia Jiang, Yan Zhang, Maosong Sun
2009Conditional Density Estimation with Class Probability Estimators.
Eibe Frank, Remco R. Bouckaert
2009Context-Aware Online Commercial Intention Detection.
Derek Hao Hu, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
2009Coping with Distribution Change in the Same Domain Using Similarity-Based Instance Weighting.
Jeong Woo Son, Hyun-Je Song, Seong-Bae Park, Se-Young Park
2009Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model.
Qiujie Li, Yaobin Mao, Zhiquan Wang, Wenbo Xiang
2009Coupled Metric Learning for Face Recognition with Degraded Images.
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen
2009Density Ratio Estimation: A New Versatile Tool for Machine Learning.
Masashi Sugiyama
2009Estimating Likelihoods for Topic Models.
Wray L. Buntine
2009Feature Selection via Maximizing Neighborhood Soft Margin.
Qinghua Hu, Xunjian Che, Jinfu Liu
2009Improving Adaptive Bagging Methods for Evolving Data Streams.
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà
2009Injecting Structured Data to Generative Topic Model in Enterprise Settings.
Han Xiao, Xiaojie Wang, Chao Du
2009Learning Algorithms for Domain Adaptation.
Manas A. Pathak, Eric Nyberg
2009Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis.
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
2009Linear Time Model Selection for Mixture of Heterogeneous Components.
Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma, Kenji Aoki, Takayuki Nakata
2009Machine Learning and Ecosystem Informatics: Challenges and Opportunities.
Thomas G. Dietterich
2009Max-margin Multiple-Instance Learning via Semidefinite Programming.
Yuhong Guo
2009Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble.
Wei Qu, Yang Zhang, Junping Zhu, Qiang Qiu
2009Monte-Carlo Tree Search in Poker Using Expected Reward Distributions.
Guy Van den Broeck, Kurt Driessens, Jan Ramon
2009On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression.
Xin Li, William K. Cheung, Jiming Liu
2009Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection.
Jun Sakuma, Rebecca N. Wright
2009Query Selection via Weighted Entropy in Graph-Based Semi-supervised Classification.
Krikamol Muandet, Sanparith Marukatat, Cholwich Nattee
2009Robust Discriminant Analysis Based on Nonparametric Maximum Entropy.
Ran He, Bao-Gang Hu, Xiaotong Yuan
2009Transfer Learning beyond Text Classification.
Qiang Yang
2009Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction.
Jiho Yoo, Seungjin Choi