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163
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ICML
2004
IEEE
16 years 7 months ago
Hyperplane margin classifiers on the multinomial manifold
The assumptions behind linear classifiers for categorical data are examined and reformulated in the context of the multinomial manifold, the simplex of multinomial models furnishe...
Guy Lebanon, John D. Lafferty
172
Voted
PODS
2007
ACM
107views Database» more  PODS 2007»
16 years 7 months ago
Polynomial time fragments of XPath with variables
Variables are the distinguishing new feature of XPath 2.0 which permits to select n-tuples of nodes in trees. It is known that the Core of XPath 2.0 captures n-ary first-order (FO...
Emmanuel Filiot, Joachim Niehren, Jean-Marc Talbot...
144
Voted
ICCD
2000
IEEE
116views Hardware» more  ICCD 2000»
16 years 3 months ago
Representing and Scheduling Looping Behavior Symbolically
This paper presents a very general, exact technique for scheduling looping data-flow graphs. In contrast to the conventional technique using loop iteration variables and integer ...
Steve Haynal, Forrest Brewer
ICTAI
2009
IEEE
16 years 1 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...
ICASSP
2008
IEEE
16 years 1 months ago
Composite hypothesis testing by optimally distinguishable distributions
Relying on optimally distinguishable distributions (ODD), it was defined very recently a new framework for the composite hypothesis testing. We resort to the linear model to inve...
Seyed Alireza Razavi, Ciprian Doru Giurcaneanu