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» On an Optimization Problem in Sensor Selection*
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ICML
2005
IEEE
15 years 11 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
KDD
2006
ACM
150views Data Mining» more  KDD 2006»
15 years 10 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho
WINE
2007
Springer
150views Economy» more  WINE 2007»
15 years 4 months ago
Maximizing Revenue in Sequential Auctions
We study sequential auctions for private value objects and unit-demand bidders using second-price sealed-bid rules. We analyze this scenario from the seller’s perspective and con...
Edith Elkind, S. Shaheen Fatima
GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
15 years 3 months ago
Factors governing the behavior of multiple cooperating swarms
This paper investigates the idea of having multiple swarms working separately and cooperating with each other to solve an optimization problem. Many factors that influence the be...
Mohammed El-Abd, Mohamed Kamel
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
15 years 3 months ago
Breeding swarms: a GA/PSO hybrid
Abstract. In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarm, combining the strengths of particle swarm optimization with genetic algorithms. The hybrid alg...
Matthew Settles, Terence Soule