1407 search results - page 112 / 282 » Learning Abstract Scheduling Models |
102
Voted
SETN
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
127
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MICCAI
2010
Springer
15 years 28 days ago
2010
Springer
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
124
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MLMI
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. This paper presents a framework for corpus based multimodal research. Part of this framework is applied in the context of meeting modelling. A generic model for differen...
112
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GECCO
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
116
Voted
AIEDU
2007
15 years 2 months ago
2007
Abstract. This paper discusses the simple open student models used in two of our constraint-based tutors, SQLd KERMIT, and their effects on self-assessment. The systems present a h...