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» Optimal Distributed Online Prediction using Mini-Batches
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IPPS
2005
IEEE
14 years 2 months ago
Performance Analysis of MPI Collective Operations
Previous studies of application usage show that the performance of collective communications are critical for high-performance computing and are often overlooked when compared to ...
Jelena Pjesivac-Grbovic, Thara Angskun, George Bos...
NIPS
2003
13 years 10 months ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
EC
2006
195views ECommerce» more  EC 2006»
13 years 8 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
JCAMD
2010
82views more  JCAMD 2010»
13 years 7 months ago
Making priors a priority
When we build a predictive model of a drug property we rigorously assess its predictive accuracy, but we are rarely able to address the most important question, “How useful will...
Matthew Segall, Andrew Chadwick
IPPS
2006
IEEE
14 years 2 months ago
Dynamic resource allocation of computer clusters with probabilistic workloads
Real-time resource scheduling is an important factor for improving the performance of cluster computing. In many distributed and parallel processing systems, particularly real-tim...
Marwan S. Sleiman, Lester Lipsky, Robert Sheahan