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» Solving iterated functions using genetic programming
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JMLR
2010
115views more  JMLR 2010»
15 years 2 months ago
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
The problem of computing a maximum a posteriori (MAP) configuration is a central computational challenge associated with Markov random fields. There has been some focus on “tr...
Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwr...
POPL
2010
ACM
16 years 1 months ago
From Program Verification to Program Synthesis
This paper describes a novel technique for the synthesis of imperative programs. Automated program synthesis has the potential to make programming and the design of systems easier...
Saurabh Srivastava, Sumit Gulwani, Jeffrey S. Fost...
TREC
2004
15 years 5 months ago
Can We Get A Better Retrieval Function From Machine?
The quality of an information retrieval system heavily depends on its retrieval function, which returns a similarity measurement between the query and each document in the collect...
Weiguo Fan, Wensi Xi, Edward A. Fox, Li Wang
139
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GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 10 months ago
Interactive evolution of XUL user interfaces
We attack the problem of user fatigue by using an interactive genetic algorithm to evolve user interfaces in the XUL interface definition language. The interactive genetic algori...
Juan C. Quiroz, Sushil J. Louis, Sergiu M. Dascalu
GECCO
2008
Springer
112views Optimization» more  GECCO 2008»
15 years 4 months ago
Parameter-less evolutionary search
The paper presents the parameter-less implementation of an evolutionary-based search. It does not need any predefined control parameters values, which are usually used for geneti...
Gregor Papa