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KDD
2009
ACM
175views Data Mining» more  KDD 2009»
15 years 11 months ago
Multi-class protein fold recognition using large margin logic based divide and conquer learning
Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
Huma Lodhi, Stephen Muggleton, Michael J. E. Stern...
ECAI
1990
Springer
15 years 10 months ago
Knowledge-Intensive Case-Based Reasoning and Sustained Learning
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
Agnar Aamodt
ICCBR
2010
Springer
15 years 10 months ago
Reducing the Memory Footprint of Temporal Difference Learning over Finitely Many States by Using Case-Based Generalization
In this paper we present an approach for reducing the memory footprint requirement of temporal difference methods in which the set of states is finite. We use case-based generaliza...
Matt Dilts, Héctor Muñoz-Avila
CCGRID
2004
IEEE
15 years 10 months ago
Learning Grid technologies in a project-based computer architecture course
This paper describes the integration of the grid topic within a Computer Architecture engineering course. Students are engaged in a project of design and evaluation of computing s...
Guillermo Vega-Gorgojo, Yannis A. Dimitriadis, Edu...
AAAI
2008
15 years 8 months ago
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
Chad Hogg, Héctor Muñoz-Avila, Ugur ...