390 search results - page 43 / 78 » A Model of Inductive Bias Learning |
ACL
2009
14 years 11 months ago
2009
It is usually assumed that the kind of noise existing in annotated data is random classification noise. Yet there is evidence that differences between annotators are not always ra...
124
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AUSAI
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. The algorithm selection problem aims to select the best algorithm for an input problem instance according to some characteristics of the instance. This paper presents a l...
105
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CLIMA
2004
15 years 3 months ago
2004
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
SLP
1989
15 years 3 months ago
1989
This paper describes a learning system, LASSY1, which explores domains represented by Prolog databases, and use its acquired knowledge to increase the efficiency of a Prolog inter...
110
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ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
We present an algorithm, HI-MAT (Hierarchy Induction via Models And Trajectories), that discovers MAXQ task hierarchies by applying dynamic Bayesian network models to a successful...