1930 search results - page 66 / 386 » Learning to Solve QBF |
163
Voted
KDD
2010
ACM
15 years 7 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
126
Voted
AAAI
2006
15 years 5 months ago
2006
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
71
Voted
NIPS
2004
15 years 5 months ago
2004
Choice-based conjoint analysis builds models of consumer preferences over products with answers gathered in questionnaires. Our main goal is to bring tools from the machine learni...
111
Voted
IJCAI
1993
15 years 5 months ago
1993
We study multiple predicate learning in an empirical setting. Problems with existing inductive logic programming approaches in this setting are sketched and an empirical ILP syste...
130
Voted
SIGKDD
2000
15 years 3 months ago
2000
Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD'99 Classifier Learning Contest, August 1999. We des...