372 search results - page 2 / 75 » Learning to Rank Using an Ensemble of Lambda-Gradient Models |
ICTAI
2010
IEEE
13 years 3 months ago
2010
IEEE
Ensemble pruning is concerned with the reduction of the size of an ensemble prior to its combination. Its purpose is to reduce the space and time complexity of the ensemble and/or ...
AAAI
2008
13 years 7 months ago
2008
Ranking plays a central role in many Web search and information retrieval applications. Ensemble ranking, sometimes called meta-search, aims to improve the retrieval performance b...
CMSB
2004
Springer
13 years 10 months ago
2004
Springer
In this paper we present a methodology to estimate rates of enzymatic reactions in metabolic pathways. Our methodology is based on applying stochastic logic learning in ensemble le...
PPSN
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Exploiting the diversity of hypotheses produced by evolutionary learning, a new ensemble approach for Feature Selection is presented, aggregating the feature rankings ext...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...