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» A MINSAT Approach for Learning in Logic Domains
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ILP
2007
Springer
15 years 3 months ago
Relational Macros for Transfer in Reinforcement Learning
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richa...
DEXAW
2007
IEEE
138views Database» more  DEXAW 2007»
15 years 3 months ago
Machine Learning for Question Answering from Tabular Data
Question Answering (QA) systems automatically answer natural language questions in a human-like manner. One of the practical approaches to open domain QA consists in extracting fa...
Mahboob Alam Khalid, Valentin Jijkoun, Maarten de ...
ML
2006
ACM
14 years 9 months ago
Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. A common way to measure performance in these domains is to use precision and recall i...
Mark Goadrich, Louis Oliphant, Jude W. Shavlik
GI
2009
Springer
15 years 2 months ago
Applying Semantic Technologies for Context-Aware AAL Services: What we can learn from SOPRANO
Abstract: Ambient assisted living (AAL) is a newly emerging term describing a research area with focus on services that support people in their daily life with particular focus on ...
Peter Wolf, Andreas Schmidt, Michael Klein
ECML
2006
Springer
15 years 1 months ago
Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning
Abstract. Over the last twenty years AI has undergone a sea change. The oncedominant paradigm of logical inference over symbolic knowledge representations has largely been supplant...
Gerald DeJong