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» On the Learnability of Vector Spaces
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ACSC
2002
IEEE
14 years 9 days ago
Suffix Vector: Space- and Time-Efficient Alternative to Suffix Trees
Suffix trees are versatile data structures that are used for solving many string-matching problems. One of the main arguments against widespread usage of the structure is its spac...
Krisztián Monostori, Arkady B. Zaslavsky, H...
EMNLP
2008
13 years 8 months ago
A Structured Vector Space Model for Word Meaning in Context
We address the task of computing vector space representations for the meaning of word occurrences, which can vary widely according to context. This task is a crucial step towards ...
Katrin Erk, Sebastian Padó
ADCM
2006
54views more  ADCM 2006»
13 years 7 months ago
Solutions in Sobolev spaces of vector refinement equations with a general dilation matrix
In this paper, we present a necessary and sufficient condition for the existence of solutions in a Sobolev space Wk p (Rs )(1 p ) to a vector refinement equation with a general dil...
Bin Han 0003
JGO
2008
75views more  JGO 2008»
13 years 7 months ago
On the second conjugate of several convex functions in general normed vector spaces
When dealing with convex functions defined on a normed vector space X the biconjugate is usually considered with respect to the dual system (X, X ), that is, as a function defined...
Constantin Zalinescu
ICANN
2007
Springer
14 years 1 months ago
Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
Shigeo Abe, Kenta Onishi