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CLA
2007
15 years 3 months ago
Policies Generalization in Reinforcement Learning using Galois Partitions Lattices
The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
Marc Ricordeau, Michel Liquiere
CORR
2010
Springer
127views Education» more  CORR 2010»
15 years 6 days ago
Learning Networks of Stochastic Differential Equations
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
José Bento, Morteza Ibrahimi, Andrea Montan...
ECML
2007
Springer
15 years 7 months ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
JMLR
2012
13 years 4 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
APBC
2004
154views Bioinformatics» more  APBC 2004»
15 years 3 months ago
Dispensation Order Generation for Pyrosequencing
This article describes a dispensation order generation algorithm for genotyping using the Pyrosequencing method. The input template of the algorithm is a slightly restricted regul...
Mats Carlsson, Nicolas Beldiceanu