Sciweavers

1897 search results - page 265 / 380
» Sparse Additive Machine
Sort
View
TCS
2008
15 years 20 days ago
Kernel methods for learning languages
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
121
Voted
BMCBI
2004
140views more  BMCBI 2004»
15 years 19 days ago
What can we learn from noncoding regions of similarity between genomes?
Background: In addition to known protein-coding genes, large amounts of apparently non-coding sequence are conserved between the human and mouse genomes. It seems reasonable to as...
Thomas A. Down, Tim J. P. Hubbard
108
Voted
SIAMCOMP
2010
83views more  SIAMCOMP 2010»
14 years 11 months ago
Reaching and Distinguishing States of Distributed Systems
Some systems interact with their environment at physically distributed interfaces, called ports, and in testing such a system it is normal to place a tester at each port. Each test...
Robert M. Hierons
143
Voted
ICCV
2011
IEEE
14 years 24 days ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr
ICML
2004
IEEE
16 years 1 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...