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CORR
2010
Springer
119views Education» more  CORR 2010»
15 years 6 months ago
Dynamic Policy Programming
In this paper, we consider the problem of planning and learning in the infinite-horizon discounted-reward Markov decision problems. We propose a novel iterative direct policysearc...
Mohammad Gheshlaghi Azar, Hilbert J. Kappen
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 11 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
ISMB
1993
15 years 7 months ago
A Modular Learning Environment for Protein Modeling
Wepropose in this paper a modularlearning environmentfor proteinmodeling.In this system,the protein modelingproblemis tackledin twosuccessive phases. First, partial structural inf...
Jérôme Gracy, Laurent Chiche, Jean Sa...
JCAL
2000
89views more  JCAL 2000»
15 years 6 months ago
The learning value of computer-based instruction of early reading skills
This study examined the unique contribution of computer-based instruction when compared with more conventional modes of instruction (i.e. teacher instruction with textbooks) to ear...
David Mioduser, Hanna Tur-Kaspa, Irit Leitner
ISPASS
2009
IEEE
16 years 1 months ago
Lonestar: A suite of parallel irregular programs
Until recently, parallel programming has largely focused on the exploitation of data-parallelism in dense matrix programs. However, many important application domains, including m...
Milind Kulkarni, Martin Burtscher, Calin Cascaval,...