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COLT
2001
Springer
15 years 10 months ago
Limitations of Learning via Embeddings in Euclidean Half-Spaces
The notion of embedding a class of dichotomies in a class of linear half spaces is central to the support vector machines paradigm. We examine the question of determining the mini...
Shai Ben-David, Nadav Eiron, Hans-Ulrich Simon
BMCBI
2008
153views more  BMCBI 2008»
15 years 6 months ago
Improved general regression network for protein domain boundary prediction
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
Paul D. Yoo, Abdur R. Sikder, Bing Bing Zhou, Albe...
CVIU
2007
146views more  CVIU 2007»
15 years 6 months ago
Face detection in gray scale images using locally linear embeddings
The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial ex...
Samuel Kadoury, Martin D. Levine
JMLR
2002
137views more  JMLR 2002»
15 years 6 months ago
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Masashi Sugiyama, Klaus-Robert Müller
IJBRA
2010
121views more  IJBRA 2010»
15 years 4 months ago
Mining Cytochrome b561 proteins from plant genomes
—Cytochrome b561 (Cyt-b561) proteins play important functions in plants such as anti-toxin defense reactions, growth and development, and prevention of damage to plants from exce...
Stephen O. Opiyo, Etsuko N. Moriyama