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» Solving iterated functions using genetic programming
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149
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ICML
1996
IEEE
15 years 7 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
CORR
2010
Springer
188views Education» more  CORR 2010»
15 years 3 months ago
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
High-dimensional statistical inference deals with models in which the the number of parameters p is comparable to or larger than the sample size n. Since it is usually impossible ...
Sahand Negahban, Pradeep Ravikumar, Martin J. Wain...
229
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BMCBI
2006
140views more  BMCBI 2006»
15 years 3 months ago
MACSIMS : multiple alignment of complete sequences information management system
Background: In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as...
Julie D. Thompson, Arnaud Muller, Andrew M. Waterh...
159
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CONSTRAINTS
2010
126views more  CONSTRAINTS 2010»
15 years 3 months ago
Lexicographically-ordered constraint satisfaction problems
Abstract. We describe a simple CSP formalism for handling multi-attribute preference problems with hard constraints, one that combines hard constraints and preferences so the two a...
Eugene C. Freuder, Robert Heffernan, Richard J. Wa...
137
Voted
IJKSR
2011
106views more  IJKSR 2011»
14 years 6 months ago
Integrating the LMS in Service Oriented eLearning Systems
Learning management systems are routinely used for presenting, solving and grading exercises with large classes. However, teachers are constrained to use questions with pre-defined...
José Paulo Leal, Ricardo Queirós