Sciweavers

5114 search results - page 503 / 1023
» Learning for Evolutionary Design
Sort
View
COLT
1994
Springer
15 years 11 months ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton
TCSV
2008
195views more  TCSV 2008»
15 years 7 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
JCIT
2007
111views more  JCIT 2007»
15 years 7 months ago
Pedagogical Usability Checklist for ESL/EFL E-learning Websites
It is, thus, not surprising that English education has gained more attention than ever and there also has been a growing amount of interest in learning English online. Although the...
C. J. Lim, S. Lee
CVPR
2009
IEEE
17 years 2 months ago
An Instance Selection Approach to Multiple Instance Learning
Multiple-instance Learning (MIL) is a new paradigm of supervised learning that deals with the classification of bags. Each bag is presented as a collection of instances from whi...
Zhouyu Fu (Australian National University), Antoni...
ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
16 years 1 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard