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» Solving Demodulation as an Optimization Problem
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ICML
2006
IEEE
16 years 4 months ago
Deterministic annealing for semi-supervised kernel machines
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chape...
CCO
2001
Springer
168views Combinatorics» more  CCO 2001»
15 years 8 months ago
Mathematical Programming Models and Formulations for Deterministic Production Planning Problems
Abstract. We study in this lecture the literature on mixed integer programming models and formulations for a specific problem class, namely deterministic production planning probl...
Yves Pochet
105
Voted
EH
2004
IEEE
89views Hardware» more  EH 2004»
15 years 7 months ago
Evolution in Materio: Initial Experiments with Liquid Crystal
Intrinsic evolution is often limited to using standard electronic components as the media for problem solving. It has been argued that because such components are human designed a...
Simon Harding, Julian Francis Miller
ICML
2002
IEEE
16 years 4 months ago
Partially Supervised Classification of Text Documents
We investigate the following problem: Given a set of documents of a particular topic or class ?, and a large set ? of mixed documents that contains documents from class ? and othe...
Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li
GECCO
2010
Springer
174views Optimization» more  GECCO 2010»
15 years 7 months ago
Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...
Thanh-Do Tran, Gang-Gyoo Jin