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96
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ICPR
2000
IEEE
16 years 1 months ago
On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and Learning Strategies
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
Mário A. T. Figueiredo
94
Voted
ICDAR
2007
IEEE
15 years 7 months ago
Representing and Characterizing Handwritten Mathematical Symbols through Succinct Functional Approximation
We model on-line ink traces for a set of 219 symbols to “best fit” low-degree polynomial series. Using a collection of mathematical writing samples, we find that in many cas...
Bruce W. Char, Stephen M. Watt
LATIN
2010
Springer
15 years 7 months ago
Kernelization through Tidying
Abstract. We introduce the NP-hard graph-based data clustering problem s-Plex Cluster Vertex Deletion, where the task is to delete at most k vertices from a graph so that the conne...
René van Bevern, Hannes Moser, Rolf Niederm...
IPPS
2003
IEEE
15 years 6 months ago
The Maximal Utilization of Processor Co-Allocation in Multicluster Systems
In systems consisting of multiple clusters of processors which employ space sharing for scheduling jobs, such as our Distributed ASCI1 Supercomputer (DAS), coallocation, i.e., the...
Anca I. D. Bucur, Dick H. J. Epema
ICML
2007
IEEE
16 years 1 months ago
Learning state-action basis functions for hierarchical MDPs
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
Sarah Osentoski, Sridhar Mahadevan