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Aristidis Likas
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Publications
- 2011
- [c53]Marko Robnik-Sikonja, Aristidis Likas, Constantinos Constantinopoulos, Igor Kononenko, Erik Strumbelj:
Efficiently Explaining Decisions of Probabilistic RBF Classification Networks. ICANNGA (1) 2011: 169-179 - 2008
- [j50]Constantinos Constantinopoulos, Aristidis Likas:
Semi-supervised and active learning with the probabilistic RBF classifier. Neurocomputing 71(13-15): 2489-2498 (2008) - 2007
- [j44]Constantinos Constantinopoulos, Aristidis Likas:
Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting. IEEE Trans. Neural Networks 18(3): 745-755 (2007) - [c36]Constantinos Constantinopoulos, Aristidis Likas:
Image Modeling and Segmentation Using Incremental Bayesian Mixture Models. CAIP 2007: 596-603 - 2006
- [j42]Constantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas:
Bayesian Feature and Model Selection for Gaussian Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 1013-1018 (2006) - [j40]Constantinos Constantinopoulos, Aristidis Likas:
An incremental training method for the probabilistic RBF network. IEEE Trans. Neural Networks 17(4): 966-974 (2006) - [c25]Constantinos Constantinopoulos, Aristidis Likas:
Active Learning with the Probabilistic RBF Classifier. ICANN (1) 2006: 357-366 - 2005
- [c22]Giorgos Sfikas, Constantinos Constantinopoulos, Aristidis Likas, Nikolas P. Galatsanos:
An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval. ICANN (2) 2005: 835-840 - 2004
- [c15]Constantinos Constantinopoulos, Aristidis Likas:
Efficient Training Algorithms for the Probabilistic RBF Network. SETN 2004: 183-190 - 2002
- [c7]Constantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas:
A Bayesian Regularization Method for the Probabilistic RBF Network. SETN 2002: 337-345
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