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JMLR
2010
157views more  JMLR 2010»
13 years 3 months ago
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relatio...
Frederick Eberhardt, Patrik O. Hoyer, Richard Sche...
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
14 years 2 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
WSOM
2009
Springer
14 years 3 months ago
Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database
Abstract. This paper presents a new methodology for missing value imputation in a database. The methodology combines the outputs of several Self-Organizing Maps in order to obtain ...
Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul...
FM
2009
Springer
104views Formal Methods» more  FM 2009»
14 years 3 months ago
A Smooth Combination of Linear and Herbrand Equalities for Polynomial Time Must-Alias Analysis
Abstract. We present a new domain for analyzing must-equalities between address expressions. The domain is a smooth combination of Herbrand and affine equalities which enables us t...
Helmut Seidl, Vesal Vojdani, Varmo Vene
BC
2002
91views more  BC 2002»
13 years 8 months ago
Linear combinations of nonlinear models for predicting human-machine interface forces
ACT This study presents a computational framework that capitalizes on known human neuromechanical characteristics during limb movements in order to predict man-machine interactions...
James L. Patton, Ferdinando A. Mussa-Ivaldi