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» A Bayesian Approach to Tackling Hard Computational Problems
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ICLP
2005
Springer
14 years 1 months ago
A Comparison of CLP(FD) and ASP Solutions to NP-Complete Problems
This paper presents experimental comparisons between declarative encodings of various computationally hard problems in both Answer Set Programming (ASP) and Constraint Logic Progra...
Agostino Dovier, Andrea Formisano, Enrico Pontelli
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
13 years 11 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
14 years 1 months ago
Is the island model fault tolerant?
In this paper, we present a study on the fault tolerance nature of the island model when applied to Genetic Algorithms. Parallel and distributed models have been extensively appli...
José Ignacio Hidalgo, Juan Lanchares, Franc...
ICPR
2004
IEEE
14 years 8 months ago
A Consistency-Based Model Selection for One-Class Classification
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
David M. J. Tax, Klaus-Robert Müller
ICCV
1999
IEEE
14 years 9 months ago
Qualitative Probabilities for Image Interpretation
Two basic problems in image interpretation are: a) determining which interpretations are the most plausible amoungst many possibilities; and b) controlling the search for plausibl...
Allan D. Jepson, Richard Mann