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140
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TCS
2008
15 years 2 months ago
Kernel methods for learning languages
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
158
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TOG
2008
178views more  TOG 2008»
15 years 2 months ago
Edge-preserving decompositions for multi-scale tone and detail manipulation
Many recent computational photography techniques decompose an image into a piecewise smooth base layer, containing large scale variations in intensity, and a residual detail layer...
Zeev Farbman, Raanan Fattal, Dani Lischinski, Rich...
106
Voted
BMCBI
2004
127views more  BMCBI 2004»
15 years 2 months ago
Optimized LOWESS normalization parameter selection for DNA microarray data
Background: Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. One of the most commonly utilized normaliza...
John A. Berger, Sampsa Hautaniemi, Anna-Kaarina J&...
117
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JCT
1998
193views more  JCT 1998»
15 years 2 months ago
Fractional Kernels in Digraphs
The aim of this note is to point out some combinatorial applications of a lemma of Scarf, proved first in the context of game theory. The usefulness of the lemma in combinatorics...
Ron Aharoni, Ron Holzman
136
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SAC
2002
ACM
15 years 2 months ago
Option pricing under model and parameter uncertainty using predictive densities
The theoretical price of a financial option is given by the expectation of its discounted expiry time payoff. The computation of this expectation depends on the density of the val...
F. Oliver Bunnin, Yike Guo, Yuhe Ren