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» Approximate algorithms for neural-Bayesian approaches
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CORR
2007
Springer
89views Education» more  CORR 2007»
14 years 9 months ago
Speeding up Simplification of Polygonal Curves using Nested Approximations
: We develop a multiresolution approach to the problem of polygonal curve approximation. We show theoretically and experimentally that, if the simplification algorithm A used betwe...
Pierre-Francois Marteau, Gildas Ménier
ICALP
2004
Springer
15 years 3 months ago
Sublinear-Time Approximation for Clustering Via Random Sampling
Abstract. In this paper we present a novel analysis of a random sampling approach for three clustering problems in metric spaces: k-median, min-sum kclustering, and balanced k-medi...
Artur Czumaj, Christian Sohler
COLT
2000
Springer
15 years 2 months ago
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process (  ¢¡¤£¦¥§  ), and focus on gradient ascent approache...
Peter L. Bartlett, Jonathan Baxter
DSN
2007
IEEE
15 years 4 months ago
Variational Bayesian Approach for Interval Estimation of NHPP-Based Software Reliability Models
In this paper, we present a variational Bayesian (VB) approach to computing the interval estimates for nonhomogeneous Poisson process (NHPP) software reliability models. This appr...
Hiroyuki Okamura, Michael Grottke, Tadashi Dohi, K...
DATESO
2007
157views Database» more  DATESO 2007»
14 years 11 months ago
Index-Based Approach to Similarity Search in Protein and Nucleotide Databases
When searching databases of nucleotide or protein sequences, finding a local alignment of two sequences is one of the main tasks. Since the sizes of available databases grow const...
David Hoksza, Tomás Skopal