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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 5 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
GI
2009
Springer
13 years 5 months ago
Ontological Modelling of Surgical Knowledge
: Computer Assisted Surgery seeks data from various sources related to surgical knowledge, which is mostly represented in the form of discrete databases. However, databases serve a...
Raj Mudunuri, Oliver Burgert, Thomas Neumuth
CAD
2011
Springer
13 years 2 months ago
Computing the minimum enclosing sphere of free-form hypersurfaces in arbitrary dimensions
The problem of computing the minimum enclosing sphere (MES) of a point set is a classical problem in Computational Geometry. As an LP-type problem, its expected running time on th...
Ramanathan Muthuganapathy, Gershon Elber, Gill Bar...
NA
2010
124views more  NA 2010»
13 years 2 months ago
An efficient unified approach for the numerical solution of delay differential equations
In this paper we propose a new framework for designing a delay differential equation (DDE) solver which works with any supplied initial value problem (IVP) solver that is based on...
Hossein ZivariPiran, Wayne H. Enright
FOGA
2011
12 years 11 months ago
Approximating the distribution of fitness over hamming regions
The distribution of fitness values across a set of states sharply influences the dynamics of evolutionary processes and heuristic search in combinatorial optimization. In this p...
Andrew M. Sutton, Darrell Whitley, Adele E. Howe