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ICML
2008
IEEE
14 years 9 months ago
An empirical evaluation of supervised learning in high dimensions
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
Rich Caruana, Nikolaos Karampatziakis, Ainur Yesse...
LCN
2006
IEEE
14 years 2 months ago
Computing Real Time Jobs in P2P Networks
— In this paper, we present a distributed computing framework designed to support higher quality of service and fault tolerance for processing deadline-driven tasks in a P2P envi...
Jingnan Yao, Jian Zhou, Laxmi N. Bhuyan
ICPP
2005
IEEE
14 years 2 months ago
Ferry: An Architecture for Content-Based Publish/Subscribe Services on P2P Networks
Leveraging DHTs (distributed hash table), we propose Ferry, an architecture for content-based publish/subscribe services. With its novel design in subscription installation, subsc...
Yingwu Zhu, Yiming Hu
TSP
2010
13 years 3 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
SODA
2008
ACM
144views Algorithms» more  SODA 2008»
13 years 10 months ago
Fast dimension reduction using Rademacher series on dual BCH codes
The Fast Johnson-Lindenstrauss Transform (FJLT) was recently discovered by Ailon and Chazelle as a novel technique for performing fast dimension reduction with small distortion fr...
Nir Ailon, Edo Liberty