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JMLR
2006
90views more  JMLR 2006»
14 years 9 months ago
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
We present worst case bounds for the learning rate of a known prediction method that is based on hierarchical applications of binary context tree weighting (CTW) predictors. A heu...
Ron Begleiter, Ran El-Yaniv
PPSN
2010
Springer
14 years 7 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
PPL
2008
124views more  PPL 2008»
14 years 9 months ago
Experimental Evaluation of BSP Programming Libraries
The model of bulk-synchronous parallel computation (BSP) helps to implement portable general purpose algorithms while keeping predictable performance on different parallel compute...
Peter Krusche
ICPP
2000
IEEE
15 years 2 months ago
Match Virtual Machine: An Adaptive Runtime System to Execute MATLAB in Parallel
MATLAB is one of the most popular languages for desktop numerical computations as well as for signal and image processing applic ations. Applying parallel processing techniques to...
Malay Haldar, Anshuman Nayak, Abhay Kanhere, Pramo...
ICS
1998
Tsinghua U.
15 years 2 months ago
High-level Management of Communication Schedules in HPF-like Languages
The goal of High Performance Fortran (HPF) is to "address the problems of writing data parallel programs where the distribution of data affects performance", providing t...
Siegfried Benkner, Piyush Mehrotra, John Van Rosen...