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FLAIRS
2008
15 years 5 months ago
Selecting Minority Examples from Misclassified Data for Over-Sampling
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
Jorge de la Calleja, Olac Fuentes, Jesús Go...
128
Voted
ICALT
2007
IEEE
15 years 5 months ago
Semantic Relation Analysis and Its Application in Cognitive Profiling
Semantic web is an emerging paradigm that has great potential for the management of web content in a meaningful manner. With more and more semantic information appended to web, th...
Taiyu Lin, Kinshuk, Sabine Graf
ECML
2005
Springer
15 years 9 months ago
Multi-armed Bandit Algorithms and Empirical Evaluation
The multi-armed bandit problem for a gambler is to decide which arm of a K-slot machine to pull to maximize his total reward in a series of trials. Many real-world learning and opt...
Joannès Vermorel, Mehryar Mohri
127
Voted
ICML
2010
IEEE
15 years 4 months ago
Label Ranking Methods based on the Plackett-Luce Model
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hül...
114
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ECML
2006
Springer
15 years 7 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...