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ALT
2006
Springer
16 years 3 months ago
Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
Daniil Ryabko, Marcus Hutter
HICSS
2009
IEEE
106views Biometrics» more  HICSS 2009»
16 years 1 months ago
IT Capacities Assessment Tool: A Survey of Hospitals in Canada
This study presents an IT assessment tool that aims at capturing the level of IT sophistication in hospitals. In order to develop a measure that reflects IT capacities in hospital...
Mirou Jaana, Guy Paré, Claude Sicotte
ICASSP
2009
IEEE
16 years 1 months ago
RLS-weighted Lasso for adaptive estimation of sparse signals
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
Daniele Angelosante, Georgios B. Giannakis
EUROGP
2009
Springer
125views Optimization» more  EUROGP 2009»
16 years 1 months ago
The Role of Population Size in Rate of Evolution in Genetic Programming
Abstract. Population size is a critical parameter that affects the performance of an Evolutionary Computation model. A variable population size scheme is considered potentially be...
Ting Hu, Wolfgang Banzhaf
ICASSP
2008
IEEE
16 years 1 months ago
Sequential experimental design for misspecified nonlinear models
In design of experiments for nonlinear regression model identification, the design criterion depends on the unknown parameters to be identified. Classical strategies consist in ...
H. ElAbiad, Laurent Le Brusquet, Marie-Eve Davoust