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» Machine Learning by Function Decomposition
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ICTAI
2010
IEEE
14 years 9 months ago
Continuous Search in Constraint Programming
This work presents the concept of Continuous Search (CS), which objective is to allow any user to eventually get their constraint solver achieving a top performance on their proble...
Alejandro Arbelaez, Youssef Hamadi, Michèle...
CVPR
2011
IEEE
14 years 8 months ago
Modeling the joint density of two images under a variety of transformations
We describe a generative model of the relationship between two images. The model is defined as a factored threeway Boltzmann machine, in which hidden variables collaborate to deļ...
Joshua Susskind, Roland Memisevic, Geoffrey Hinton...
CDC
2010
IEEE
196views Control Systems» more  CDC 2010»
14 years 6 months ago
Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
Vladislav B. Tadic
ICALT
2005
IEEE
15 years 5 months ago
ActiveTutor
In this paper we present an architecture dedicated to an intelligently assisted educational tool which integrates within a unified framework software rational agents both at the m...
Jean Pierre Fournier
ML
2011
ACM
308views Machine Learning» more  ML 2011»
14 years 6 months ago
Relational information gain
Abstract. Type Extension Trees (TET) have been recently introduced as an expressive representation language allowing to encode complex combinatorial features of relational entities...
Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andre...