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» Restart Strategy Selection Using Machine Learning Techniques
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CP
2010
Springer
13 years 5 months ago
Ensemble Classification for Constraint Solver Configuration
The automatic tuning of the parameters of algorithms and automatic selection of algorithms has received a lot of attention recently. One possible approach is the use of machine lea...
Lars Kotthoff, Ian Miguel, Peter Nightingale
BMCBI
2008
173views more  BMCBI 2008»
13 years 7 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
ICIAP
2005
ACM
14 years 7 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
JSAT
2008
63views more  JSAT 2008»
13 years 7 months ago
Whose side are you on? Finding solutions in a biased search-tree
We introduce a new jump strategy for look-ahead based satisfiability (Sat) solvers that aims to boost their performance on satisfiable formulae, while maintaining their behavior o...
Marijn Heule, Hans van Maaren