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AAMAS
2002
Springer
15 years 3 months ago
Multiagent Learning for Open Systems: A Study in Opponent Classification
Abstract. Open systems are becoming increasingly important in a variety of distributed, networked computer applications. Their characteristics, such as agent diversity, heterogenei...
Michael Rovatsos, Gerhard Weiß, Marco Wolf
MAGS
2007
168views more  MAGS 2007»
15 years 3 months ago
Agent-based protein structure prediction
A protein is identified by a finite sequence of amino acids, each of them chosen from a set of 20 elements. The Protein Structure Prediction Problem is the problem of predicting...
Luca Bortolussi, Agostino Dovier, Federico Fogolar...
AROBOTS
2002
113views more  AROBOTS 2002»
15 years 3 months ago
An Incremental Self-Deployment Algorithm for Mobile Sensor Networks
This paper describes an incremental deployment algorithm for mobile sensor networks. A mobile sensor network is a distributed collection of nodes, each of which has sensing, compu...
Andrew Howard, Maja J. Mataric, Gaurav S. Sukhatme
CLASSIFICATION
2004
59views more  CLASSIFICATION 2004»
15 years 3 months ago
Oscillation Heuristics for the Two-group Classification Problem
: We propose a new nonparametric family of oscillation heuristics for improving linear classifiers in the two-group discriminant problem. The heuristics are motivated by the intuit...
Ognian Asparouhov, Paul A. Rubin
CORR
2000
Springer
84views Education» more  CORR 2000»
15 years 3 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
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