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» On Range Searching with Semialgebraic Sets
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GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
14 years 3 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...
ML
2002
ACM
123views Machine Learning» more  ML 2002»
13 years 8 months ago
Feature Generation Using General Constructor Functions
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
Shaul Markovitch, Dan Rosenstein
ATAL
2009
Springer
14 years 3 months ago
Directed soft arc consistency in pseudo trees
We propose an efficient method that applies directed soft arc consistency to a Distributed Constraint Optimization Problem (DCOP) which is a fundamental framework of multi-agent ...
Toshihiro Matsui, Marius-Calin Silaghi, Katsutoshi...
IDA
2002
Springer
13 years 8 months ago
Classification and filtering of spectra: A case study in mineralogy
The ability to identify the mineral composition of rocks and soils is an important tool for the exploration of geological sites. Even though expert knowledge is commonly used for t...
Jonathan Moody, Ricardo Bezerra de Andrade e Silva...
ECAI
2004
Springer
14 years 2 months ago
Guiding a Theorem Prover with Soft Constraints
Attempts to use finite models to guide the search for proofs by resolution and the like in first order logic all suffer from the need to trade off the expense of generating and m...
John K. Slaney, Arnold Binas, David Price