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88
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CP
2010
Springer
14 years 8 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
108
Voted
MOBICOM
2012
ACM
13 years 20 days ago
AutoMAC: rateless wireless concurrent medium access
Current wireless network design is built on the ethos of avoiding interference. In this paper we question this long-held design principle. We show that with appropriate design, su...
Aditya Gudipati, Stephanie Pereira, Sachin Katti
SDM
2009
SIAM
143views Data Mining» more  SDM 2009»
15 years 7 months ago
Finding Representative Association Rules from Large Rule Collections.
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
Warren L. Davis IV, Peter Schwarz, Evimaria Terzi
108
Voted
COLING
2008
14 years 11 months ago
Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
Gholamreza Haffari, Anoop Sarkar
100
Voted
IDA
2010
Springer
14 years 8 months ago
GA-stacking: Evolutionary stacked generalization
Stacking is a widely used technique for combining classifiers and improving prediction accuracy. Early research in Stacking showed that selecting the right classifiers, their par...
Agapito Ledezma, Ricardo Aler, Araceli Sanch&iacut...