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117
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PR
2008
131views more  PR 2008»
15 years 3 months ago
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
Salvador García, José Ramón C...
165
Voted
IJACTAICIT
2010
153views more  IJACTAICIT 2010»
14 years 10 months ago
Prediction Using Recurrent Neural Network Based Fuzzy Inference system by the Modified Bees Algorithm
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
Zahra Khanmirzaei, Mohammad Teshnehlab
161
Voted
ML
2010
ACM
193views Machine Learning» more  ML 2010»
14 years 10 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
152
Voted
SMI
2006
IEEE
123views Image Analysis» more  SMI 2006»
15 years 9 months ago
Selecting Distinctive 3D Shape Descriptors for Similarity Retrieval
Databases of 3D shapes have become widespread for a variety of applications, and a key research problem is searching these databases for similar shapes. This paper introduces a me...
Philip Shilane, Thomas A. Funkhouser
161
Voted
EMMCVPR
2003
Springer
15 years 8 months ago
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that...
Doron Blatt, Alfred O. Hero