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» Solving Combinatorial Auctions Using Stochastic Local Search
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CORR
2010
Springer
123views Education» more  CORR 2010»
13 years 6 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...
HIS
2008
13 years 9 months ago
Towards a Highly Scalable Hybrid Metaheuristic for Haplotype Inference Under Parsimony
Haplotype Inference is a challenging problem in bioinformatics that consists in inferring the basic genetic constitution of diploid organisms on the basis of their genotype. This ...
Stefano Benedettini, Luca Di Gaspero, Andrea Roli
ECML
2007
Springer
14 years 1 months ago
Optimizing Feature Sets for Structured Data
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...
Ulrich Rückert, Stefan Kramer
SLS
2007
Springer
103views Algorithms» more  SLS 2007»
14 years 1 months ago
Designing and Tuning SLS Through Animation and Graphics: An Extended Walk-Through
Stochastic Local Search (SLS) is quite effective for a variety of Combinatorial (Optimization) Problems (COP). However, the performance of SLS depends on several factors and getti...
Steven Halim, Roland H. C. Yap
EAAI
2007
154views more  EAAI 2007»
13 years 7 months ago
An agent-based approach to solve dynamic meeting scheduling problems with preferences
Multi-agent systems are widely used to address large-scale distributed combinatorial applications in the real world. One such application is meeting scheduling (MS), which is de...
Ahlem Ben Hassine, Tu Bao Ho