Advances in Machine Learning First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Zhou, Zhi-Hua (Επιμελητής έκδοσης), Washio, Takashi (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: Lecture Notes in Computer Science, 5828
• Θέματα: Computer science.; Computers.; Data mining.; Artificial intelligence.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Image Processing and Computer Vision.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Models and Principles.; Pattern Recognition.

The First Asian Conference on Machine Learning (ACML 2009) was held at Nanjing, China during November 2–4, 2009.This was the ?rst edition of a series of annual conferences which aim to provide a leading international forum for researchers in machine learning and related ?elds to share their new idea...

Πίνακας περιεχομένων:

• 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.