Keynote and Invited Talks -- Machine Learning and Ecosystem Informatics: Challenges and Opportunities -- Density Ratio Estimation: A New Versatile Tool for Machine Learning -- Transfer Learning beyond Text Classification -- Regular Papers -- Improving Adaptive Bagging Methods for Evolving Data Streams -- A Hierarchical Face Recognition Algorithm -- Estimating Likelihoods for Topic Models -- Conditional Density Estimation with Class Probability Estimators -- Linear Time Model Selection for Mixture of Heterogeneous Components -- Max-margin Multiple-Instance Learning via Semidefinite Programming -- A Reformulation of Support Vector Machines for General Confidence Functions -- Robust Discriminant Analysis Based on Nonparametric Maximum Entropy -- Context-Aware Online Commercial Intention Detection -- Feature Selection via Maximizing Neighborhood Soft Margin -- Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix -- Community Detection on Weighted Networks: A Variational Bayesian Method -- Averaged Naive Bayes Trees: A New Extension of AODE -- Automatic Choice of Control Measurements -- Coupled Metric Learning for Face Recognition with Degraded Images -- Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model -- On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression -- Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes -- Query Selection via Weighted Entropy in Graph-Based Semi-supervised Classification -- Learning Algorithms for Domain Adaptation -- Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble -- Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis -- Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection -- Coping with Distribution Change in the Same Domain Using Similarity-Based Instance Weighting -- Monte-Carlo Tree Search in Poker Using Expected Reward Distributions -- Injecting Structured Data to Generative Topic Model in Enterprise Settings -- Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction.

This volume constitutes the proceedings of the First Asian Conference on Machine Learning, ACML 2009, held in Nanjing, China, in November 2009. The 27 revised selected papers presented together with 3 invited papers were carefully reviewed and selected from 113 submissions. The papers accepted for presentation thoroughly cover the thematic area of machine learning and related fields.