654 search results - page 89 / 131 » TRUST-TECH based Methods for Optimization and Learning |
86
Voted
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
90
Voted
CIKM
2008
Springer
15 years 2 months ago
2008
Springer
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...
130
Voted
CSL
2010
Springer
15 years 23 days ago
2010
Springer
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
132
Voted
NPL
2006
15 years 19 days ago
2006
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
GECCO
2003
Springer
15 years 5 months ago
2003
Springer
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...