1864 search results - page 123 / 373 » Modeling Classification and Inference Learning |
93
Voted
TCS
2010
14 years 11 months ago
2010
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model co...
118
Voted
PKDD
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
115
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ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
117
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AAMAS
2008
Springer
15 years 26 days ago
2008
Springer
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent/incomplete/uncertain knowledge, based on the construction and the comparison of ar...
82
Voted
NIPS
2004
15 years 2 months ago
2004
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...