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» On learning with dissimilarity functions
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CVPR
2008
IEEE
14 years 12 months ago
Improving local learning for object categorization by exploring the effects of ranking
Local learning for classification is useful in dealing with various vision problems. One key factor for such approaches to be effective is to find good neighbors for the learning ...
Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang
CSB
2004
IEEE
106views Bioinformatics» more  CSB 2004»
15 years 1 months ago
Positive Sample Only Learning (PSOL) for Predicting RNA Genes in E. coli
RNA genes lack most of the signals used for protein gene identification. A major shortcoming of previous discriminative methods to distinguish functional RNA (fRNA) genes from oth...
Richard F. Meraz, Xiaofeng He, Chris H. Q. Ding, S...
BMCBI
2010
125views more  BMCBI 2010»
14 years 10 months ago
Active machine learning for transmembrane helix prediction
Background: About 30% of genes code for membrane proteins, which are involved in a wide variety of crucial biological functions. Despite their importance, experimentally determine...
Hatice U. Osmanbeyoglu, Jessica A. Wehner, Jaime G...
JMLR
2010
161views more  JMLR 2010»
14 years 4 months ago
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two convex terms: one is the loss function of the learning...
Lin Xiao
ICML
1998
IEEE
15 years 11 months ago
Intra-Option Learning about Temporally Abstract Actions
tion Learning about Temporally Abstract Actions Richard S. Sutton Department of Computer Science University of Massachusetts Amherst, MA 01003-4610 rich@cs.umass.edu Doina Precup D...
Richard S. Sutton, Doina Precup, Satinder P. Singh