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» Resampling-based software for estimating optimal sample size
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MCS
2000
Springer
13 years 11 months ago
Analysis of a Fusion Method for Combining Marginal Classifiers
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
Mark D. Happel, Peter Bock
NIPS
1996
13 years 8 months ago
Radial Basis Function Networks and Complexity Regularization in Function Learning
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
Adam Krzyzak, Tamás Linder
ICASSP
2011
IEEE
12 years 11 months ago
A novel algorithm for occlusions and perspective effects using a 3D object process
In this paper, we introduce a novel probabilistic approach to handle occlusions and perspective effects. The proposed method is an object based method embedded in a marked point p...
Ahmed Gamal-Eldin, Xavier Descombes, Josiane Zerub...
ACISICIS
2007
IEEE
14 years 1 months ago
Fuzzy Model Based Recognition of Handwritten Hindi Numerals using Bacterial Foraging
This paper presents the recognition of Handwritten Hindi Numerals. The recognition is based on the modified exponential membership function fitted to the fuzzy sets derived from f...
Madasu Hanmandlu, A. V. Nath, A. C. Mishra, Vamsi ...
FLAIRS
2000
13 years 8 months ago
Overriding the Experts: A Stacking Method for Combining Marginal Classifiers
The design of an optimal Bayesian classifier for multiple features is dependent on the estimation of multidimensional joint probability density functions and therefore requires a ...
Mark D. Happel, Peter Bock