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ICML
2009
IEEE
16 years 5 months ago
Constraint relaxation in approximate linear programs
Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...
Marek Petrik, Shlomo Zilberstein
DATE
1997
IEEE
75views Hardware» more  DATE 1997»
15 years 8 months ago
Using constraint logic programming in memory synthesis for general purpose computers
In modern computer systems the performance is dominated by the memory performance. Currently, there is neither a systematic design methodology nor a tool for the design of memory ...
Renate Beckmann, Jürgen Herrmann
JUCS
2007
129views more  JUCS 2007»
15 years 4 months ago
Constraint Programming Architectures: Review and a New Proposal
: Most automated reasoning tasks with practical applications can be automatically reformulated into a constraint solving task. A constraint programming platform can thus act as a u...
Jacques Robin, Jairson Vitorino, Armin Wolf
165
Voted
BIBM
2010
IEEE
161views Bioinformatics» more  BIBM 2010»
15 years 2 months ago
Cis-regulatory module detection using constraint programming
We propose a method for finding CRMs in a set of co-regulated genes. Each CRM consists of a set of binding sites of transcription factors. We wish to find CRMs involving the same t...
Tias Guns, Hong Sun, Kathleen Marchal, Siegfried N...
CONSTRAINTS
2007
100views more  CONSTRAINTS 2007»
15 years 4 months ago
Design of Financial CDO Squared Transactions Using Constraint Programming
We give an approximate and often extremely fast method of building a particular kind of portfolio in finance, here called a portfolio design (PD), with applications in the credit ...
Pierre Flener, Justin Pearson, Luis G. Reyna, Olof...