Statistical Learning Theory

Keywords

Computer science, Mathematics, Statistics, Econometrics, Artificial intelligence

References

• On the Density of Families of SetsN. Sauer — 1972
• Necessary and Sufficient Conditions for the Uniform Convergence of Means to their ExpectationsVladimir Vapnik, Alexey Chervonenkis — 1982
• Artificial Neural Networks: A TutorialAbhishek Jain, Jianchang Mao, Khalid Mohiuddin — 1996
• The basic ideas in neural networksDavid E. Rumelhart, Bernard Widrow, Michael A. Lehr — 1994
• A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of ObservationsHerman Chernoff — 1952
• A training algorithm for optimal margin classifiersBernhard E. Boser, Isabelle Guyon, Vladimir Vapnik — 1992
• A Branch and Bound Algorithm for Computing k-Nearest NeighborsKeinosuke Fukunaga, P. M. Narendra — 1975
• The Nature of Statistical Learning TheoryVladimir Vapnik — 2000
• The Nature of Statistical Learning TheoryVladimir Vapnik — 1995
• Surveys in Combinatorics, 1989: On the method of bounded differencesC. McDiarmid — 1989
• Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilitiesV. Vapnik — 1971

Cited by

• Is linguistic information relevant for the classification of legal texts?Teresa Gonçalves, Paulo Quaresma — 2005
• Iterative Labeling for Semi-Supervised LearningSteve Hanneke, Dan Roth — 2004
• Support vector machines for multi-class pattern recognitionJason Weston, Chris Watkins — 1999
• Closest Pairs Data Selection for Support Vector MachinesChaofan Sun — 2006
• Automatic generation of natural language summariesΔημήτριος Γαλάνης — 2012
• Cluster-based semi-supervised ensemble learningRodrigo G. F. Soares — 2014
• Support Vector Machine Concept-Dependent Active Learning for Image RetrievalEdward Yi Chang, Simon Tong, Chengwei Chang — 2005
• Integrating Information Extraction, Ontology Learning and Semantic Browsing into Organizational Knowledge ProcessesJosé Iria, Fabio Ciravegna, Philipp Cimiano — 2004
• Support Vector Machine and GeneralizationTakio Kurita — 2004
• Crime Scene Representation (2D, 3D, Stereoscopic Projection) and ClassificationRicardo O. Abu Hana, Cinthia Obladen de Almendra Freitas‍, Luiz S. Oliveira — 2008
• The Pyramid Match: Efficient Learning with Partial CorrespondencesKristen Grauman — 2007
• Algorithmes métaheuristiques hybrides pour la sélection de gènes et la classification de données de biopuces. (Hybrid metaheuristics algorithms for gene selection and classification of microarray data)José Crispín Hernández Hernández — 2008
• Text mining and IRT for psychiatric and psychological assessmentQiwei He — 2009
• Classification of genes using probabilistic models of microarray expression profilesPaul Pavlidis, Christopher L. Tang, William Stafford Noble — 2001
• Validating a neural network-based online adaptive systemYan Liu — 2005
• Monitoring, Security, and Rescue Techniques in Multiagent Systems (Advances in Soft Computing)Barbara Dunin‐Kȩplicz, Andrzej Jankowski, Andrzej Skowron — 2005
• Statistical Likelihood Representations of Prior Knowledge in Machine LearningMark Kon, Leszek Plaskota, Andrzej W. Przybyszewski — 2005
• A Linear Predictive Coding Algorithm Minimizing the Golomb-Rice Code Length of the Residual SignalHirokazu Kameoka, Yutaka Kamamoto, Noboru Harada — 2008
• PATTERN RECOGNITION TECNICHE E APPLICAZIONIAlessio Malizia — 2006
• Prognostics and health management of light emitting diodesThamotharampillai Sutharssan — 2012

Related papers

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