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» Generalized Discriminant Analysis Using a Kernel Approach
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ML
2002
ACM
128views Machine Learning» more  ML 2002»
15 years 6 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
TCAD
2002
158views more  TCAD 2002»
15 years 6 months ago
Static power modeling of 32-bit microprocessors
The paper presents a novel strategy aimed at modelling instruction energy consumption of 32-bits microprocessors. Differently from former approaches, the proposed instruction-level...
Carlo Brandolese, Fabio Salice, William Fornaciari...
JSS
2010
91views more  JSS 2010»
15 years 4 months ago
Assessing the impact of global variables on program dependence and dependence clusters
This paper presents results of a study of the effect of global variables on the quantity of dependence in general and on the presence of dependence clusters in particular. The pa...
David Binkley, Mark Harman, Youssef Hassoun, Syed ...
JMLR
2010
218views more  JMLR 2010»
15 years 1 months ago
Simple Exponential Family PCA
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
Jun Li, Dacheng Tao
ATAL
2011
Springer
14 years 6 months ago
The face of emotions: a logical formalization of expressive speech acts
In this paper, we merge speech act theory, emotion theory, and logic. We propose a modal logic that integrates the concepts of belief, goal, ideal and responsibility and that allo...
Nadine Guiraud, Dominique Longin, Emiliano Lorini,...