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» An Instance Selection Approach to Multiple Instance Learning
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ICPADS
2007
IEEE
15 years 4 months ago
Scheduling multiple divisible loads on a linear processor network
Min, Veeravalli, and Barlas have recently proposed strategies to minimize the overall execution time of one or several divisible loads on a heterogeneous linear network, using one...
Matthieu Gallet, Yves Robert, Frédér...
ML
2000
ACM
105views Machine Learning» more  ML 2000»
14 years 9 months ago
Multiple Comparisons in Induction Algorithms
Abstract. A single mechanism is responsible for three pathologies of induction algorithms: attribute selection errors, overfitting, and oversearching. In each pathology, induction ...
David D. Jensen, Paul R. Cohen
ECAI
2006
Springer
15 years 1 months ago
A Unified Model for Multilabel Classification and Ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operate...
Klaus Brinker, Johannes Fürnkranz, Eyke H&uum...
EACL
1993
ACL Anthology
14 years 11 months ago
Data-Oriented Methods for Grapheme-to-Phoneme Conversion
It is traditionally assumed that various sources of linguistic knowledge and their interaction should be formalised in order to be able to convert words into their phonemic repres...
Antal van den Bosch, Walter Daelemans
ABIALS
2008
Springer
14 years 12 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...