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Luckner, Marcin; Szyszko, Krzysztof

RBF ensemble based on reduction of DAG structure Inproceedings

Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, pp. 99–105, IEEE, Kraków, 2013.

Abstract | Links | BibTeX | Tags: Accuracy, binary classifiers, Chebyshev approximation, classes similarity, Classification, classification cost reduction, DAG structure reduction, Directed Acyclic Graph, directed graphs, Euclidean distance, Glass, Kernel, learning (artificial intelligence), pattern classification, Radial Basis Function, radial basis function ensemble, radial basis function networks, RBF ensemble, recognition accuracy, Support Vector Machines, UCI repository


Luckner, Marcin

Multiclass SVM classification using graphs calibrated by similarity between classes Inproceedings

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 435–444, 2011, ISSN: 03029743.

Links | BibTeX | Tags: Classification, Decision trees, Directed Acyclic Graph, One-Against-All, One-Against-One

Luckner, Marcin

Reducing Number of Classifiers in DAGSVM Based on Class Similarity Inproceedings

Image Analysis and Processing – ICIAP 2011 Lecture Notes in Computer Science, pp. 514–523, Springer Berlin Heidelberg, 2011.

Abstract | Links | BibTeX | Tags: Classification, Directed Acyclic Graph, One–Against–One, Support Vector Machines