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GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 8 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
JMLR
2006
107views more  JMLR 2006»
15 years 4 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
INTERSPEECH
2010
14 years 11 months ago
Speaking style dependency of formant targets
Previous work on formant targets has assumed that these targets are independent of the speaking style. In this paper, we estimate consonant and vowel targets in a database of &quo...
Akiko Amano-Kusumoto, John-Paul Hosom, Alexander K...
ICML
2008
IEEE
16 years 5 months ago
Metric embedding for kernel classification rules
In this paper, we consider a smoothing kernelbased classification rule and propose an algorithm for optimizing the performance of the rule by learning the bandwidth of the smoothi...
Bharath K. Sriperumbudur, Omer A. Lang, Gert R. G....
AROBOTS
2005
98views more  AROBOTS 2005»
15 years 4 months ago
Terrain Classification Using Weakly-Structured Vehicle/Terrain Interaction
We present a new terrain classification technique both for effective, autonomous locomotion over rough, unknown terrains and for the qualitative analysis of terrains for exploratio...
Amy C. Larson, Guleser K. Demir, Richard M. Voyles