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GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
16 years 1 months ago
Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms
Recent research into single–objective continuous Estimation– of–Distribution Algorithms (EDAs) has shown that when maximum–likelihood estimations are used for parametric d...
Peter A. N. Bosman, Dirk Thierens
ICS
1997
Tsinghua U.
15 years 11 months ago
Optimizing Matrix Multiply Using PHiPAC: A Portable, High-Performance, ANSI C Coding Methodology
Modern microprocessors can achieve high performance on linear algebra kernels but this currently requires extensive machine-speci c hand tuning. We have developed a methodology wh...
Jeff Bilmes, Krste Asanovic, Chee-Whye Chin, James...
EUROPAR
2004
Springer
16 years 8 days ago
Large-Scale Deployment in P2P Experiments Using the JXTA Distributed Framework
The interesting properties of P2P systems (high availability despite peer volatility, support for heterogeneous architectures, high scalability, etc.) make them attractive for dist...
Gabriel Antoniu, Luc Bougé, Mathieu Jan, S&...
JMLR
2012
13 years 9 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
CVPR
1999
IEEE
16 years 9 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann