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» Unsupervised Problem Decomposition Using Genetic Programming
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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 11 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
AIPS
2011
13 years 2 months ago
Scheduling an Aircraft Repair Shop
We address a scheduling problem in the context of military aircraft maintenance where the goal is to meet the aircraft requirements for a number of missions in the presence of bre...
Maliheh Aramon Bajestani, J. Christopher Beck
ICDAR
2009
IEEE
14 years 5 months ago
Text Lines and Snippets Extraction for 19th Century Handwriting Documents Layout Analysis
In this paper we propose a new approach to improve electronic editions of human science corpus, providing an efficient estimation of manuscripts pages structure. In any handwriti...
Vincent Malleron, Véronique Eglin, Hubert E...
GECCO
2005
Springer
103views Optimization» more  GECCO 2005»
14 years 4 months ago
Pricing the 'free lunch' of meta-evolution
A number of recent studies introduced meta-evolutionary strategies and successfully used them for solving problems in genetic programming. While individual results indicate possib...
Alexei V. Samsonovich, Kenneth A. De Jong
TSP
2011
142views more  TSP 2011»
13 years 5 months ago
Fractional QCQP With Applications in ML Steering Direction Estimation for Radar Detection
—This paper deals with the problem of estimating the steering direction of a signal, embedded in Gaussian disturbance, under a general quadratic inequality constraint, representi...
Antonio De Maio, Yongwei Huang, Daniel Pére...