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» Spatiotemporal Relational Random Forests
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ICML
2008
IEEE
14 years 10 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...
IPMI
2003
Springer
14 years 10 months ago
Spatiotemporal Localization of Significant Activation in MEG Using Permutation Tests
Abstract. We describe the use of non-parametric permutation tests to detect activation in cortically-constrained maps of current density computed from MEG data. The methods are app...
Dimitrios Pantazis, Thomas E. Nichols, Sylvain Bai...
BMCBI
2010
104views more  BMCBI 2010»
13 years 10 months ago
A novel scoring function for discriminating hyperthermophilic and mesophilic proteins with application to predicting relative th
Background: The ability to design thermostable proteins is theoretically important and practically useful. Robust and accurate algorithms, however, remain elusive. One critical pr...
Yunqi Li, C. Russell Middaugh, Jianwen Fang
IV
2003
IEEE
118views Visualization» more  IV 2003»
14 years 3 months ago
Tools for Visual Comparison of Spatial Development Scenarios
In the paper, we suggest a set of visualization-based exploratory tools to support analysis and comparison of different spatial development scenarios, such as results of simulatio...
Natalia V. Andrienko, Gennady L. Andrienko, Peter ...
MCS
2009
Springer
14 years 4 months ago
Improved Uniformity Enforcement in Stochastic Discrimination
There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
Matthew Prior, Terry Windeatt