626 search results - page 46 / 126 » Incremental Learning in SwiftFile |
SETN
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
AIIA
2003
Springer
14 years 2 months ago
2003
Springer
This paper aims at presenting the application of first-order logic machine learning techniques to two document domains in order to learn rules for recognizing the semantic role of...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
IEAAIE
2004
Springer
14 years 2 months ago
2004
Springer
Learning systems have been devised as a way of overcoming the knowledge acquisition bottleneck in the development of knowledge-based systems. They often cast learning to a search p...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...