Recent work has demonstrated the effectiveness of the wavelet decomposition in reducing large amounts of data to compact sets of wavelet coefficients (termed "wavelet synopse...
- As is generally accepted, the most important feature that a Knowledge Discovery in Database (KDD) system must possess is, to be able to discover patterns that are "novel&quo...
Ying Xie, Manmathasivaram Nagarajan, Vijay V. Ragh...
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
Associative classification (AC) has been studied in the areas of content-based multimedia retrieval and semantic concept detection due to its high accuracy. The traditional AC alg...
Lin Lin, Mei-Ling Shyu, Guy Ravitz, Shu-Ching Chen