1134 search results - page 92 / 227 » Sequential Inductive Learning |
107
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ECML
1998
Springer
15 years 1 months ago
1998
Springer
Previous bias shift approaches to predicate invention are not applicable to learning from positive examples only, if a complete hypothesis can be found in the given language, as ne...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
131
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MLG
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
ECAI
2000
Springer
15 years 2 months ago
2000
Springer
A number of Inductive Logic Programming (ILP) systems have addressed the problem of learning First Order Logic (FOL) discriminant definitions by first reformulating the FOL lear...
COLT
1992
Springer
15 years 2 months ago
1992
Springer
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...