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» Genetic Algorithms for Ambiguous Labelling Problems
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GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
14 years 26 days ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
TFS
2008
230views more  TFS 2008»
13 years 7 months ago
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data
Abstract--This paper considers the automatic design of fuzzyrule-based classification systems from labeled data. The performance of classifiers and the interpretability of generate...
Eghbal G. Mansoori, Mansoor J. Zolghadri, Seraj D....
EOR
2006
70views more  EOR 2006»
13 years 7 months ago
Heuristics for matrix bandwidth reduction
In this work, we provide two heuristic algorithms for the matrix bandwidth reduction problem. The first is a genetic algorithm and the second uses node label adjustments. Experime...
Andrew Lim, Brian Rodrigues, Fei Xiao
IVC
2002
133views more  IVC 2002»
13 years 7 months ago
A relaxation algorithm for real-time multiple view 3D-tracking
In this paper we address the problem of reliable real-time 3D-tracking of multiple objects which are observed in multiple wide-baseline camera views. Establishing the spatio-tempo...
Yi Li, Adrian Hilton, John Illingworth
NIPS
2003
13 years 8 months ago
Multiple-Instance Learning via Disjunctive Programming Boosting
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
Stuart Andrews, Thomas Hofmann