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CLA
2007
15 years 7 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 4 months 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
16 years 14 days 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 8 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 7 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