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NIPS
1996
13 years 10 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
BMCBI
2005
104views more  BMCBI 2005»
13 years 8 months ago
Wildfire: distributed, Grid-enabled workflow construction and execution
Background: We observe two trends in bioinformatics: (i) analyses are increasing in complexity, often requiring several applications to be run as a workflow; and (ii) multiple CPU...
Francis Tang, Ching Lian Chua, Liang-Yoong Ho, Yun...
JNW
2007
100views more  JNW 2007»
13 years 8 months ago
Towards a Novel Metadata Information Service for Distributed Data Management
— The trend in Grid computing towards more data intensive applications, accessing more and more relational databases and requiring advanced integration of secondhand and publicly...
Alexander Wöhrer, Peter Brezany
BMCBI
2004
124views more  BMCBI 2004»
13 years 8 months ago
Tests for finding complex patterns of differential expression in cancers: towards individualized medicine
Background: Microarray studies in cancer compare expression levels between two or more sample groups on thousands of genes. Data analysis follows a population-level approach (e.g....
James Lyons-Weiler, Satish Patel, Michael J. Becic...
DICTA
2003
13 years 10 months ago
Globally Optimal Surfaces by Continuous Maximal Flows
Abstract. In this paper we solve the problem of computing exact continuous optimal curves and surfaces for image segmentation and 3D reconstruction, using a maximal flow approach ...
Ben Appleton, Hugues Talbot