Searching for authors named "Sarunas Raudys" – sorted by Relevance.

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5 documents found, showing 1 through 5.

The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement
by Sarunas Raudys, Fabio Roli — 2003 — In Proc. Int. Workshop on Multiple Classifier Systems (LNCS 2709
…In the pattern recognition literature, Huang and Suen introduced the "multinomial" rule for fusion of multiple classifiers under the name of Behavior Knowledge Space (BKS) method [1]. This classifier fusion method can provide very good performances if large and representative data sets are availa…
Cited by 3 (1 self) – Add To MetaCart

Optimal Regularization of Linear and Nonlinear Perceptrons
by Sarunas Raudys, Marina Skurichina, Tautvydas Cibas, Patrick Gallinari — 1994
…. We derive an analytical formula for the generalization error of linear adaptive classifiers trained with weight decay. Analytical and experimental results are then presented to analyze the optimal value of regularization parameters as a function of the training set size. Key words: perceptron, gen…
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An Experimental Comparison of Fixed and Trained Fusion Rules for Crisp Classifier Outputs
by Fabio Roli, Sarunas Raudys, Gian Luca Marcialis
…At present, fixed rules for classifier combination are the most used and widely investigated ones, while the study and application of trained rules has received much less attention. Therefore, pros and cons of fixed and trained rules are only partially known even if one focuses on crisp classifie…
Cited by 5 (1 self) – Add To MetaCart

Variable Selection with Optimal Cell Damage
by Tautvydas Cibas, Franoise Fogelman Soulié, Patrick Gallinari, Sarunas Raudys — 1994 — In Proceedings of ICANN'94
…this paper we will show how NNs can be used for variable selection with a criterion based upon the evaluation of a variable usefulness. Various methods have been proposed to assess the value of a weight (e.g. saliency [Le Cun et al. 90] in the Optimal Brain-Damage -OBD- procedure): along similar ide…
Cited by 9 (1 self) – Add To MetaCart

Variable Selection with Neural Networks
by Tautvydas Cibas, Franoise Fogelman Soulié, Patrick Gallinari, Sarunas Raudys — 1996 — Neurocomputing
…this paper a regularization approach to variable selection, where the regularization term (gaussian and gaussian mixture priors) allows to discard, during training, least useful variables, and we compare performances to the stepwise procedure. When implementing these different methods, one has to de…
Cited by 6 (3 self) – Add To MetaCart

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