Luís G. Rueda, B. John Oommen Resolving Minsky's Paradox: The d-Dimensional Normal Distribution Case. [Citation Graph (0, 0)][DBLP] Australian Joint Conference on Artificial Intelligence, 2001, pp:25-36 [Conf]
Luís G. Rueda A New Approach That Selects a Single Hyperplane from the Optimal Pairwise Linear Classifier. [Citation Graph (0, 0)][DBLP] CIARP, 2003, pp:521-528 [Conf]
Luís G. Rueda New Bounds and Approximations for the Error of Linear Classifiers. [Citation Graph (0, 0)][DBLP] CIARP, 2004, pp:342-349 [Conf]
B. John Oommen, Luís G. Rueda On Utilizing Stochastic Learning Weak Estimators for Training and Classification of Patterns with Non-stationary Distributions. [Citation Graph (0, 0)][DBLP] KI, 2005, pp:107-120 [Conf]
Luís G. Rueda An Empirical Analysis of Traditional and Optimal Pairwise Linear Classifiers on Standard Benchmarks. [Citation Graph (0, 0)][DBLP] PRIS, 2003, pp:88-95 [Conf]
Luís G. Rueda, B. John Oommen On Optimal Pairwise Linear Classifiers for Normal Distributions: The Two-Dimensional Case. [Citation Graph (0, 0)][DBLP] IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:2, pp:274-280 [Journal]
Luís G. Rueda An efficient approach to compute the threshold for multi-dimensional linear classifiers. [Citation Graph (0, 0)][DBLP] Pattern Recognition, 2004, v:37, n:4, pp:811-826 [Journal]
Luís G. Rueda Selecting the best hyperplane in the framework of optimal pairwise linear classifiers. [Citation Graph (0, 0)][DBLP] Pattern Recognition Letters, 2004, v:25, n:1, pp:49-62 [Journal]
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