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» Learning the Structure of Linear Latent Variable Models
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FMCAD
2009
Springer
14 years 3 months ago
Decision diagrams for linear arithmetic
—Boolean manipulation and existential quantification of numeric variables from linear arithmetic (LA) formulas is at the core of many program analysis and software model checkin...
Sagar Chaki, Arie Gurfinkel, Ofer Strichman
PRL
2010
149views more  PRL 2010»
13 years 3 months ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
GECCO
2005
Springer
102views Optimization» more  GECCO 2005»
14 years 2 months ago
Evolutionary rule-based system for IPO underpricing prediction
Academic literature has documented for a long time the existence of important price gains in the first trading day of initial public offerings (IPOs). Most of the empirical analys...
David Quintana, Cristóbal Luque del Arco-Ca...
PAMI
2008
176views more  PAMI 2008»
13 years 8 months ago
Learning Flexible Features for Conditional Random Fields
Abstract-- Extending traditional models for discriminative labeling of structured data to include higher-order structure in the labels results in an undesirable exponential increas...
Liam Stewart, Xuming He, Richard S. Zemel
WWW
2007
ACM
14 years 9 months ago
A kernel based structure matching for web services search
This paper describes a kernel based Web Services (abbreviated as service) matching mechanism for service discovery and integration. The matching mechanism tries to exploit the lat...
Yu Jianjun, Guo Shengmin, Su Hao, Zhang Hui, Xu Ke