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» On the Learnability of Vector Spaces
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ENTCS
2002
93views more  ENTCS 2002»
13 years 8 months ago
Matroids from modules
The aim of this work is to show that (oriented) matroid methods can be applied to many discrete geometries, namely those based on modules over integral (ordered) domains. The tric...
Nils Anders Danielsson, Michael B. Smyth
STOC
2006
ACM
141views Algorithms» more  STOC 2006»
14 years 8 months ago
Lattice problems and norm embeddings
We present reductions from lattice problems in the 2 norm to the corresponding problems in other norms such as 1, (and in fact in any other p norm where 1 p ). We consider latt...
Oded Regev, Ricky Rosen
ACL
2006
13 years 9 months ago
Word Vectors and Two Kinds of Similarity
This paper examines what kind of similarity between words can be represented by what kind of word vectors in the vector space model. Through two experiments, three methods for con...
Akira Utsumi, Daisuke Suzuki
EUSFLAT
2003
105views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Nearness relations and topology
J. Dobrakovov´a and the author in [7] introduced the relation of nearness in Banach space. In this paper we will go on investigating the nearness relation in a linear space with ...
Martin Kalina
QI
2009
Springer
123views Physics» more  QI 2009»
14 years 3 months ago
Hilbert Space Models Commodity Exchanges
Abstract. It is argued that the vector space measures used to measure closeness of market prices to predictors for market prices are invalid because of the observed metric of commo...
Paul Cockshott