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» A Universal Kernel for Learning Regular Languages
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ALT
2006
Springer
14 years 2 months ago
Learning Linearly Separable Languages
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
ICS
2009
Tsinghua U.
14 years 1 days ago
High-performance regular expression scanning on the Cell/B.E. processor
Matching regular expressions (regexps) is a very common workload. For example, tokenization, which consists of recognizing words or keywords in a character stream, appears in ever...
Daniele Paolo Scarpazza, Gregory F. Russell
ADCM
2008
136views more  ADCM 2008»
13 years 5 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou
MM
2005
ACM
123views Multimedia» more  MM 2005»
13 years 10 months ago
How speech/text alignment benefits web-based learning
This demonstration presents an integrated web-based synchronized scenario for many-to-one cross-media correlations between speech (an EFL, English as Foreign Language, lecture wit...
Sheng-Wei Li, Hao-Tung Lin, Herng-Yow Chen