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» Applications of Preferences using Answer Set Programming
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128
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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 4 months ago
MLS security policy evolution with genetic programming
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...
Yow Tzu Lim, Pau-Chen Cheng, Pankaj Rohatgi, John ...
130
Voted
PAMI
2007
125views more  PAMI 2007»
15 years 3 months ago
Matching by Linear Programming and Successive Convexification
—We present a novel convex programming scheme to solve matching problems, focusing on the challenging problem of matching in a large search range and with cluttered background. M...
Hao Jiang, Mark S. Drew, Ze-Nian Li
128
Voted
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 7 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
ISPAN
2002
IEEE
15 years 8 months ago
On the Impact of Naming Methods for Heap-Oriented Pointers in C Programs
Many applications written in C allocate memory blocks for their major data structures from the heap space at runtime. The analysis of heap-oriented pointers in such programs is cr...
Tong Chen, Jin Lin, Wei-Chung Hsu, Pen-Chung Yew
122
Voted
ICLP
1997
Springer
15 years 7 months ago
Non-Failure Analysis for Logic Programs
We provide a method whereby, given mode and (upper approximation) type information, we can detect procedures and goals that can be guaranteed to not fail (i.e., to produce at leas...
Saumya K. Debray, Pedro López-García...