Kullback-Leibler Simplex

This technical reference presents the functional structure and the algorithmic implementation of KL (Kullback-Leibler) simplex. It details the simplex approximation and fusion. The KL simplex is fundamental, robust, adaptive an informatics agent for computational research in economics, finance, game and mechanism. From this perspective the study provides comprehensive results to facilitate future work in such areas

Exact soft confidence-weighted learning

Ministry of Education, Singapore under its Academic Research Funding Tier

Second Order Online Collaborative Filtering

Asian Conference on Machine Learning 5th ACML 2013, November 13-15, Canberra</p

Online active learning with expert advice

Singapore National Research Foundation under International Research Centre @ Singapore Funding Initiativ

Soft confidence-weighted learning

Ministry of Education, Singapore under its Academic Research Funding Tier 1; Microsoft Research Gran