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JMLR
2006
90views more  JMLR 2006»
13 years 7 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
ICPADS
2010
IEEE
13 years 5 months ago
Simulating Large Scale Parallel Applications Using Statistical Models for Sequential Execution Blocks
Abstract-Predicting sequential execution blocks of a large scale parallel application is an essential part of accurate prediction of the overall performance of the application. Whe...
Gengbin Zheng, Gagan Gupta, Eric J. Bohm, Isaac Do...
CATE
2004
190views Education» more  CATE 2004»
13 years 9 months ago
Enhancing Online Learning Performance: An Application of Data Mining Methods
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
BMCBI
2010
208views more  BMCBI 2010»
13 years 7 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
ICPR
2004
IEEE
14 years 8 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo