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ICPR
2008
IEEE
14 years 4 months ago
Fast model selection for MaxMinOver-based training of support vector machines
OneClassMaxMinOver (OMMO) is a simple incremental algorithm for one-class support vector classification. We propose several enhancements and heuristics for improving model select...
Fabian Timm, Sascha Klement, Thomas Martinetz
TEC
2002
152views more  TEC 2002»
13 years 10 months ago
Ant colony optimization for resource-constrained project scheduling
An ant colony optimization (ACO) approach for the resource-constrained project scheduling problem (RCPSP) is presented. Several new features that are interesting for ACO in general...
Daniel Merkle, Martin Middendorf, Hartmut Schmeck
DATESO
2007
157views Database» more  DATESO 2007»
13 years 12 months ago
Index-Based Approach to Similarity Search in Protein and Nucleotide Databases
When searching databases of nucleotide or protein sequences, finding a local alignment of two sequences is one of the main tasks. Since the sizes of available databases grow const...
David Hoksza, Tomás Skopal
GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
14 years 5 months ago
Distributed hyper-heuristics for real parameter optimization
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Marco Biazzini, Balázs Bánhelyi, Alb...
PODS
1999
ACM
160views Database» more  PODS 1999»
14 years 2 months ago
Queries with Incomplete Answers over Semistructured Data
Semistructured data occur in situations where information lacks a homogeneous structure and is incomplete. Yet, up to now the incompleteness of information has not been re ected b...
Yaron Kanza, Werner Nutt, Yehoshua Sagiv