Support-Vector Networks (1995)

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by Corinna Cortes , Vladimir Vapnik
Venue:Machine Learning
Citations:2148 - 31 self

Active Bibliography

2 Functional Networks: A New Computational Framework for the Specification, Simulation and Algebraic Manipulation of Modular Neural Systems – Massimo de Francesco - 1994
373 An introduction to kernel-based learning algorithms – Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf - 2001
187 Extracting Support Data for a Given Task – Bernhard Schölkopf, Chris Burges, Vladimir Vapnik - 1995
Learning to Control Dynamic Systems Via Associative Reinforcement Learning – Vijaykumar Gullapalli
vorgelegt von – Lars Larsson, Prof Dr, Leonie Dreschler-fischer
181 Task Decomposition Through Competition in a Modular Connectionist Architecture – Robert A. Jacobs - 1990
51 Reinforcement Learning And Its Application To Control – Vijaykumar Gullapalli - 1992
6 Sequential Constructive Techniques – Marco Muselli - 1998
76 Joint Induction of Shape Features and Tree Classifiers – Donald Geman, Yali Amit, Ken Wilder - 1997
13 SVM-based multimodal classification of activities of daily living in health smart homes: Sensors, algorithms, and first experimental results – Anthony Fleury, Michel Vacher, Norbert Noury, Senior Member - 2010
9 Generativity and Systematicity in Neural Network Combinatorial Learning – Olivier Brousse - 1993
17 Combining Exploratory Projection Pursuit And Projection Pursuit Regression With Application To Neural Networks – Nathan Intrator - 1992
Communicated by Steven J. Nowlan Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks – Nathan Intrator
An Improved Learning Algorithm based on the Conjugate Gradient Method for Back Propagation Neural Networks – N. M. Nawi, M. R. Ransing, R. S. Ransing
International Journal of Computational Intelligence 4;1 2008 An Improved Conjugate Gradient Based Learning Algorithm for Back Propagation Neural Networks – N. M. Nawi, R. S. Ransing, M. R. Ransing
2 An Improved Conjugate Gradient Based Learning Algorithm for Back Propagation Neural Networks – N. M. Nawi, R. S. Ransing, M. R. Ransing
complexes en haute – Olivier Delalleau, Examen Pré-doctoral
6 Nonlinear feature extraction based on centroids and kernel functions – Cheonghee Park, Haesun Park - 2002
15 Machine learning techniques for brain-computer interfaces – K.-R. Müller, M. Krauledat, G. Dornhege, G. Curio, B. Blankertz - 2004