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ICCBR
2010
Springer
13 years 11 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
JMLR
2010
107views more  JMLR 2010»
13 years 2 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
ICIAR
2004
Springer
14 years 22 days ago
Learning an Information Theoretic Transform for Object Detection
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Jianzhong Fang, Guoping Qiu
SAT
2007
Springer
121views Hardware» more  SAT 2007»
14 years 1 months ago
MiniMaxSat: A New Weighted Max-SAT Solver
In this paper we introduce MINIMAXSAT, a new Max-SAT solver that incorporates the best SAT and Max-SAT techniques. It can handle hard clauses (clauses of mandatory satisfaction as ...
Federico Heras, Javier Larrosa, Albert Oliveras
LPAR
2004
Springer
14 years 22 days ago
Abstract DPLL and Abstract DPLL Modulo Theories
DPLL and DPLL Modulo Theories Robert Nieuwenhuis , Albert Oliveras , and Cesare Tinelli We introduce Abstract DPLL, a general and simple abstract rule-based formulation of the Davi...
Robert Nieuwenhuis, Albert Oliveras, Cesare Tinell...