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ML
2000
ACM
185views Machine Learning» more  ML 2000»
13 years 9 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
IFE
2010
161views more  IFE 2010»
13 years 8 months ago
Adaptive estimation and prediction of power and performance in high performance computing
Power consumption has become an increasingly important constraint in high-performancecomputing systems, shifting the focus from peak performance towards improving power efficiency...
Reza Zamani, Ahmad Afsahi
ICMLA
2010
13 years 8 months ago
Smoothing Gene Expression Using Biological Networks
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi
ICCVW
1999
Springer
14 years 2 months ago
A General Method for Feature Matching and Model Extraction
Abstract. Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations. However, both methods su er...
Clark F. Olson
CSDA
2007
128views more  CSDA 2007»
13 years 10 months ago
Computational methods for case-cohort studies
Computational methods, which can be implemented using standard Cox regression software, are given for fitting “exact” pseudolikehood estimates and robust and asymptotic varia...
Bryan Langholz, Jenny Jiao