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» Generalization Error Bounds Using Unlabeled Data
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CAIP
2009
Springer
114views Image Analysis» more  CAIP 2009»
15 years 1 months ago
Decision Trees Using the Minimum Entropy-of-Error Principle
Binary decision trees based on univariate splits have traditionally employed so-called impurity functions as a means of searching for the best node splits. Such functions use estim...
Joaquim Marques de Sá, João Gama, Ra...
IM
2007
14 years 11 months ago
CLID: A general approach to validate security policies in a dynamic network
- Many researchers have considered security policy management, including how to configure policies manually and even how to automatically generate security policies based on securi...
Yanyan Yang, Charles U. Martel, Shyhtsun Felix Wu
IJCNN
2007
IEEE
15 years 4 months ago
Evaluation of Performance Measures for SVR Hyperparameter Selection
— To obtain accurate modeling results, it is of primal importance to find optimal values for the hyperparameters in the Support Vector Regression (SVR) model. In general, we sea...
Koen Smets, Brigitte Verdonk, Elsa Jordaan
NAACL
2010
14 years 7 months ago
Training Paradigms for Correcting Errors in Grammar and Usage
This paper proposes a novel approach to the problem of training classifiers to detect and correct grammar and usage errors in text by selectively introducing mistakes into the tra...
Alla Rozovskaya, Dan Roth
ECCC
2006
134views more  ECCC 2006»
14 years 9 months ago
Derandomizing the AW matrix-valued Chernoff bound using pessimistic estimators and applications
Ahlswede and Winter [AW02] introduced a Chernoff bound for matrix-valued random variables, which is a non-trivial generalization of the usual Chernoff bound for real-valued random...
Avi Wigderson, David Xiao