Sciweavers

359 search results - page 49 / 72
» A Constrained Semi-supervised Learning Approach to Data Asso...
Sort
View
178
Voted
BMCBI
2007
194views more  BMCBI 2007»
15 years 3 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
130
Voted
TVCG
2012
162views Hardware» more  TVCG 2012»
13 years 6 months ago
A Statistical Quality Model for Data-Driven Speech Animation
—In recent years, data-driven speech animation approaches have achieved significant successes in terms of animation quality. However, how to automatically evaluate the realism o...
Xiaohan Ma, Zhigang Deng
149
Voted
NIPS
1990
15 years 4 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro
JMLR
2008
111views more  JMLR 2008»
15 years 3 months ago
Ranking Categorical Features Using Generalization Properties
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
Sivan Sabato, Shai Shalev-Shwartz
160
Voted
EOR
2007
165views more  EOR 2007»
15 years 3 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang