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» A Minimax Chebyshev Estimator for Bounded Error Estimation
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IJBRA
2006
107views more  IJBRA 2006»
13 years 9 months ago
Probabilistic models for biological sequences: selection and Maximum Likelihood estimation
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...
Svetlana Ekisheva, Mark Borodovsky
TCOM
2010
80views more  TCOM 2010»
13 years 7 months ago
Near optimal training sequences for low complexity symbol timing estimation in MIMO systems
—Training sequences for data-aided timing estimation in multi-input multi-output systems are designed. It is observed that for low complexity implementation, the sequences must n...
Ketan Rajawat, Ajit K. Chaturvedi
IJCNN
2007
IEEE
14 years 3 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
TSP
2008
105views more  TSP 2008»
13 years 9 months ago
A Fresh Look at the Bayesian Bounds of the Weiss-Weinstein Family
Minimal bounds on the mean square error (MSE) are generally used in order to predict the best achievable performance of an estimator for a given observation model. In this paper, w...
Alexandre Renaux, Philippe Forster, Pascal Larzaba...
NIPS
2004
13 years 10 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