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ICML
2001
IEEE
14 years 7 months ago
Round Robin Rule Learning
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
Johannes Fürnkranz
JMLR
2002
144views more  JMLR 2002»
13 years 6 months ago
Round Robin Classification
In this paper, we discuss round robin classification (aka pairwise classification), a technique for handling multi-class problems with binary classifiers by learning one classifie...
Johannes Fürnkranz
JUCS
2006
95views more  JUCS 2006»
13 years 7 months ago
POCA : A User Distributions Algorithm in Enterprise Systems with Clustering
Abstract: As enterprises worldwide race to improve real-time management to improve productivity, customer services and flexibility, huge resources have been invested into enterpris...
Ping-Yu Hsu, Ping-Ho Ting
UAI
2004
13 years 8 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
ISIPTA
2003
IEEE
125views Mathematics» more  ISIPTA 2003»
14 years 9 days ago
Game-Theoretic Learning Using the Imprecise Dirichlet Model
We discuss two approaches for choosing a strategy in a two-player game. We suppose that the game is played a large number of rounds, which allows the players to use observations o...
Erik Quaeghebeur, Gert de Cooman