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ML
2008
ACM
150views Machine Learning» more  ML 2008»
15 years 6 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
ALT
1997
Springer
15 years 10 months ago
Learning DFA from Simple Examples
Efficient learning of DFA is a challenging research problem in grammatical inference. It is known that both exact and approximate (in the PAC sense) identifiability of DFA is har...
Rajesh Parekh, Vasant Honavar
COLT
1992
Springer
15 years 10 months ago
Language Learning from Stochastic Input
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...
Shyam Kapur, Gianfranco Bilardi
ICML
2008
IEEE
16 years 7 months ago
Learning for control from multiple demonstrations
We consider the problem of learning to follow a desired trajectory when given a small number of demonstrations from a sub-optimal expert. We present an algorithm that (i) extracts...
Adam Coates, Pieter Abbeel, Andrew Y. Ng
ICALT
2007
IEEE
16 years 27 days ago
Adapting health care competencies to a formal competency model
Health professions education has moved away from process-based curricula to competency-based curricula. Machine readable and processable health care competencies are still embryon...
Onjira Sitthisak, Lester Gilbert, Hugh C. Davis, M...