39 search results - page 3 / 8 » Learning Evaluation Functions for Global Optimization and Bo... |
JMLR
2010
13 years 4 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The fe...
CDC
2009
IEEE
13 years 7 months ago
2009
IEEE
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
ECAI
2008
Springer
13 years 11 months ago
2008
Springer
Automation of Web service composition is one of the most interesting challenges facing the Semantic Web today. Since Web services have been enhanced with formal semantic descriptio...
INFORMATICASI
1998
13 years 9 months ago
1998
Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover d...