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NIPS
2007
15 years 8 months ago
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
Alessandro Lazaric, Marcello Restelli, Andrea Bona...
APBC
2004
132views Bioinformatics» more  APBC 2004»
15 years 8 months ago
Identifying Character Non-Independence in Phylogenetic Data Using Data Mining Techniques
Undiscovered relationships in a data set may confound analyses, particularly those that assume data independence. Such problems occur when characters used for phylogenetic analyse...
Anne M. Maglia, Jennifer L. Leopold, Venkat Ram Gh...
IJCAI
2003
15 years 8 months ago
Continuous nonlinear dimensionality reduction by kernel Eigenmaps
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...
Matthew Brand
CEC
2010
IEEE
15 years 8 months ago
Improving GP classification performance by injection of decision trees
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Rikard König, Ulf Johansson, Tuve Löfstr...
ANOR
2007
73views more  ANOR 2007»
15 years 7 months ago
A sample-path approach to optimal position liquidation
We consider the problem of optimal position liquidation with the aim of maximizing the expected cash flow stream from the transaction in the presence of temporary or permanent ma...
Pavlo A. Krokhmal, Stan Uryasev