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ICML
2010
IEEE
13 years 8 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...
PAMI
2010
132views more  PAMI 2010»
13 years 5 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
MCS
2005
Springer
14 years 27 days ago
A Probability Model for Combining Ranks
Mixed Group Ranks is a parametric method for combining rank based classiers that is eective for many-class problems. Its parametric structure combines qualities of voting methods...
Ofer Melnik, Yehuda Vardi, Cun-Hui Zhang
ESANN
2000
13 years 8 months ago
Algorithmic approaches to training Support Vector Machines: a survey
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
Colin Campbell
INTERSPEECH
2010
13 years 2 months ago
Speech synthesis by modeling harmonics structure with multiple function
In this paper, we present a new approach for the speech synthesis, in which speech utterances are synthesized using the parameters of spectro-modeling function (Multiple function)...
Toru Nakashika, Ryuki Tachibana, Masafumi Nishimur...