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» Almost Random Projection Machine
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DAGM
2010
Springer
15 years 23 days ago
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
Fuxin Li, Catalin Ionescu, Cristian Sminchisescu
TCC
2012
Springer
226views Cryptology» more  TCC 2012»
13 years 7 months ago
Subspace LWE
The (decisional) learning with errors problem (LWE) asks to distinguish “noisy” inner products of a secret vector with random vectors from uniform. In recent years, the LWE pro...
Krzysztof Pietrzak
ICML
2004
IEEE
16 years 14 days ago
Sequential skewing: an improved skewing algorithm
This paper extends previous work on the Skewing algorithm, a promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parit...
Soumya Ray, David Page
COLT
1998
Springer
15 years 3 months ago
Learning One-Variable Pattern Languages in Linear Average Time
A new algorithm for learning one-variable pattern languages is proposed and analyzed with respect to its average-case behavior. We consider the total learning time that takes into...
Rüdiger Reischuk, Thomas Zeugmann
117
Voted
IPPS
1998
IEEE
15 years 3 months ago
A Molecular Quasi-Random Model of Computations Applied to Evaluate Collective Intelligence
The paper presents how the Random PROLOG Processor (RPP), a bio-inspired model of computations, can be used for formalization and analysis of a phenomenon - the Collective Intelli...
Tadeusz Szuba