Sciweavers

772 search results - page 78 / 155
» Shape Regression Machine
Sort
View
TIT
2002
164views more  TIT 2002»
13 years 7 months ago
On the generalization of soft margin algorithms
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
John Shawe-Taylor, Nello Cristianini
ML
2007
ACM
106views Machine Learning» more  ML 2007»
13 years 7 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
ECML
2005
Springer
14 years 1 months ago
On Discriminative Joint Density Modeling
Abstract. We study discriminative joint density models, that is, generative models for the joint density p(c, x) learned by maximizing a discriminative cost function, the condition...
Jarkko Salojärvi, Kai Puolamäki, Samuel ...
ESANN
2008
13 years 9 months ago
Multi-class classification of ovarian tumors
In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression...
Ben Van Calster, Dirk Timmerman, Antonia C. Testa,...
FSMNLP
2008
Springer
13 years 9 months ago
Learning with Weighted Transducers
Weighted finite-state transducers have been used successfully in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine ...
Corinna Cortes, Mehryar Mohri