28 results on '"Lazaro, Marcelino"'
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2. One-step Bayesian example-dependent cost classification: The OsC-MLP method
3. Neural network for ordinal classification of imbalanced data by minimizing a Bayesian cost
4. Imbalance example-dependent cost classification: A Bayesian based method
5. A Principled Two-Step Method for Example-Dependent Cost Binary Classification
6. Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification
7. Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows
8. Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets
9. Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks
10. Decentralized detection for censored binary observations with statistical dependence
11. Accelerating the Convergence of EM-Based Training Algorithms for RBF Networks
12. A Bayes Risk Minimization Machine for Example-Dependent Cost Classification
13. Blind equalization using the IRWLS formulation of the support vector machine
14. Optimal sensor selection in binary heterogeneous sensor networks
15. Stochastic blind equalization based on PDF fitting using Parzen estimator
16. Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation
17. Neural networks for large- and small-signal modeling of MESFET/HEMT transistors
18. Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives
19. Smoothing the Canonical Piecewise-Linear Model: An Efficient and Derivable Large-Signal Model for MESFET/HEMT Transistors
20. Closed-Form Error Exponent for the Neyman–Pearson Fusion of Dependent Local Decisions in a One-Dimensional Sensor Network
21. Training of neural classifiers by separating distributions at the hidden layer
22. Closed-form error exponent for the Neyman-Pearson fusion of Markov local decisions
23. A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class
24. Multidimensional SVM to include the samples of the derivatives in the reconstruction of a function.
25. Blind equalization of multilevel signals using support vector machines.
26. Blind restoration of binary signals using a line spectrum fitting approach.
27. Closed-form error exponent for the Neyman-Pearson fusion of two-dimensional Markov local decisions.
28. Blind equalization of multilevel signals using support vector machines
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