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» On the Learnability of Vector Spaces
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JMLR
2008
95views more  JMLR 2008»
14 years 10 months ago
Learning Similarity with Operator-valued Large-margin Classifiers
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
Andreas Maurer
TKDE
2008
118views more  TKDE 2008»
14 years 10 months ago
A Lagrangian Approach for Multiple Personalized Campaigns
The multicampaign assignment problem is a campaign model to overcome the multiple-recommendation problem that occurs when conducting several personalized campaigns simultaneously. ...
Yong-Hyuk Kim, Yourim Yoon, Byung Ro Moon
CORR
2004
Springer
92views Education» more  CORR 2004»
14 years 10 months ago
Pseudorandom number generation by p-adic ergodic transformations: an addendum
Abstract. The paper study counter-dependent pseudorandom number generators based on m-variate (m > 1) ergodic mappings of the space of 2-adic integers Z2. The sequence of intern...
Vladimir Anashin
TC
1998
14 years 9 months ago
A New Representation of Elements of Finite Fields GF(2m) Yielding Small Complexity Arithmetic Circuits
—Let F2 denote the binary field and F 2 m an algebraic extension of degree m > 1 over F2 . Traditionally, elements of F 2 m are either represented as powers of a primitive ele...
Germain Drolet
SIGIR
2002
ACM
14 years 9 months ago
Automatic classification in product catalogs
In this paper, we present the AutoCat system for product classification. AutoCat uses a vector space model, modified to consider product attributes unavailable in traditional docu...
Ben Wolin