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» Statistical Modelling of CSP Solving Algorithms Performance
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CORR
2010
Springer
123views Education» more  CORR 2010»
13 years 7 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...
PODC
2003
ACM
14 years 2 months ago
Performing work with asynchronous processors: message-delay-sensitive bounds
This paper considers the problem of performing tasks in asynchronous distributed settings. This problem, called DoAll, has been substantially studied in synchronous models, but th...
Dariusz R. Kowalski, Alexander A. Shvartsman
ICASSP
2011
IEEE
13 years 20 days ago
Stochastic behavior analysis of the Gaussian Kernel Least Mean Square algorithm
Like its linear counterpart, the Kernel Least Mean Square (KLMS) algorithm is also becoming popular in nonlinear adaptive filtering due to its simplicity and robustness. The “k...
Wemerson D. Parreira, José Carlos M. Bermud...
IPMI
1999
Springer
14 years 9 months ago
A Unified Framework for Atlas Matching Using Active Appearance Models
1 We propose to use statistical models of shape and texture as deformable anatomical atlases. By training on sets of labelled examples these can represent both the mean structure a...
Timothy F. Cootes, C. Beeston, Gareth J. Edwards, ...
SAC
2011
ACM
13 years 3 months ago
A quasi-Newton acceleration for high-dimensional optimization algorithms
Abstract In many statistical problems, maximum likelihood estimation by an EM or MM algorithm suffers from excruciatingly slow convergence. This tendency limits the application of ...
Hua Zhou, David Alexander, Kenneth Lange