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» An empirical comparison of supervised learning algorithms
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142
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JMLR
2006
135views more  JMLR 2006»
15 years 1 months ago
Statistical Comparisons of Classifiers over Multiple Data Sets
While methods for comparing two learning algorithms on a single data set have been scrutinized for quite some time already, the issue of statistical tests for comparisons of more ...
Janez Demsar
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
15 years 5 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
ROCAI
2004
Springer
15 years 7 months ago
Learning Interestingness Measures in Terminology Extraction. A ROC-based approach
Abstract. In the field of Text Mining, a key phase in data preparation is concerned with the extraction of terms, i.e. collocation of words attached to specific concepts (e.g. Ph...
Mathieu Roche, Jérôme Azé, Yve...
132
Voted
JMLR
2006
107views more  JMLR 2006»
15 years 1 months ago
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...
Di-Rong Chen, Tao Sun
94
Voted
ICASSP
2011
IEEE
14 years 5 months ago
Defining the controlling parameter in constrained discriminative linear transform for supervised speaker adaptation
Constrained discriminative linear transform (CDLT) optimized with Extended Baum-Welch (EBW) has been presented in the literature as a discriminative speaker adaptation method that...
Danning Jiang, Dimitri Kanevsky, Emmanuel Yashchin...