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» Some Results on Effective Randomness
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NIPS
2004
15 years 8 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake
SOCO
2010
Springer
15 years 5 months ago
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics
Local genetic algorithms have been designed with the aim of providing effective intensification. One of their most outstanding features is that they may help classical local searc...
Carlos García-Martínez, Manuel Lozan...
ICIP
2003
IEEE
16 years 8 months ago
On multivariate estimation by thresholding
Despite their simplicity, scalar threshold operators effectively remove additive white Gaussian noise from wavelet detail coefficients of many practical signals. This paper explor...
Alyson K. Fletcher, Vivek K. Goyal, Kannan Ramchan...
MCS
2010
Springer
15 years 5 months ago
2D vertex modeling for the simulation of grain growth and related phenomena
A vertex model for the simulation of grain growth and grain boundary migration is developed and its implementation is explained in detail. The utilization of the model is also exe...
L. A. Barrales Mora
WWW
2004
ACM
16 years 7 months ago
Testbed for information extraction from deep web
Search results generated by searchable databases are served dynamically and far larger than the static documents on the Web. These results pages have been referred to as the Deep ...
Yasuhiro Yamada, Nick Craswell, Tetsuya Nakatoh, S...