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» Parallelizing Feature Selection
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PRIB
2010
Springer
123views Bioinformatics» more  PRIB 2010»
15 years 2 months ago
Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family
We studied 1372 LacI-family transcription factors and their 4484 DNA binding sites using machine learning algorithms and feature selection techniques. The Naive Bayes classifier a...
Gennady G. Fedonin, Mikhail S. Gelfand
OSDI
1994
ACM
15 years 5 months ago
Performance Issues in Parallelized Network Protocols
Parallel processing has been proposed as a means of improving network protocol throughput. Several different strategies have been taken towards parallelizing protocols. A relative...
Erich M. Nahum, David J. Yates, James F. Kurose, D...
CCECE
2006
IEEE
15 years 10 months ago
Breast Cancer Prognosis via Gaussian Mixture Regression
This paper compares the performance of classification and regression trees (CART), multivariate adaptive regression splines (MARS), and a Gaussian mixture regressor (GMR) method ...
Tiago H. Falk, Hagit Shatkay, Wai-Yip Chan
ICIAR
2005
Springer
15 years 10 months ago
Robust Global Mosaic Topology Estimation for Real-Time Applications
This paper proposes an iterative methodology for real-time robust mosaic topology inference. It tackles the problem of optimal feature selection (optimal sampling) for global estim...
Nuno Pinho da Silva, João Paulo Costeira
PAKDD
2005
ACM
114views Data Mining» more  PAKDD 2005»
15 years 10 months ago
Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
The availability of microarray data has enabled several studies on the application of aggregated classifiers for molecular classification. We present a combination of classifier ag...
Chia Huey Ooi, Madhu Chetty