Pairwise Neural Network Classifiers with Probabilistic Outputs

Keywords

Pairwise comparison, Computer science, Artificial neural network, Probabilistic logic, Artificial intelligence

References

• Connectionist speech recognitionHervé Bourlard, Nelson Morgan — 1993
• Connectionist Speech Recognition: A Hybrid ApproachHervé Bourlard, Nelson Morgan — 1993
• The String-to-String Correction ProblemRobert A. Wagner, Michael J. Fischer — 1974
• Pattern classification and scene analysisMichael Thompson, Richard O. Duda, Peter E. Hart — 1974
• Off-line cursive word recognitionJ.-C. Simon — 1992
• Transforming Neural-Net Output Levels to Probability DistributionsJohn S. Denker, Yann LeCun — 1990
• Links Between Markov Models and Multilayer PerceptronsH. Bourlard, C. Wellekens — 1990
• Handwritten digit recognition by neural networks with single-layer trainingS. Knerr, L. Personnaz, Gérard Dreyfus — 1992
• Recognition of handwritten word: first and second order hidden Markov model based approachA. Kundu, Yulin He, Paramvir Bahl — 1988
• Recognition of handwritten word: First and second order hidden Markov model based approachAmlan Kundu, Yang He, Paramvir Bahl — 1989
• Single-layer learning revisited: a stepwise procedure for building and training a neural networkS. Knerr, L. Personnaz, G. Dreyfus — 1989
• Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern RecognitionJ. Bridle — 1989
• PROBABILISTIC APPROACH FOR MULTICLASS CLASSIFICATION WITH NEURAL NETWORKSP. Réfrégier, F. Vallet — 1991

Cited by

• Tabu Search Model Selection for SVMMosae Selvakumar Paulraj, J. Ravi, S. Thomas Lee — 2008
• Emotion verification for emotion detection and unknown emotion rejectionHoon Young Cho, Kaisheng Yao, Te-Won Lee — 2004
• Combining Multiple Pairwise Neural Networks Classifiers: A Comparative StudyOlivier Lézoray, Hubert Cardot — 2005
• Effectiveness of decomposition algorithms for multi-class classification problemsWaldemar Wołyński — 2010
• Speech recognition with support vector machines in a hybrid systemSven E. Krüger, Martin Schafföner, Marcel Katz — 2005
• Probabilistic classifiers and time-scale representations: application to the monitoring of a tramway guiding systemZahra Hamou Mamar, Pierre Chainais, Alexandre Aussem — 2006
• Grading hypoxic-ischemic encephalopathy severity in neonatal EEG using GMM supervectors and the support vector machine.Rehan Ahmed, Andriy Temko, William P. Marnane — 2016
• Foundations of Rule LearningJohannes Fürnkranz, Dragan Gamberger, Nada Lavrač — 2012
• One-against-all and one-against-one based neuro-fuzzy classifiersMohamed Nemissi, Hamid Séridi, H. Akdag — 2014
• Parametrisation et classification des signaux en controle non destructif. Application a la reconnaissance des defauts de rails par courants de foucaultLatifa Oukhellou — 1997
• Efficient pairwise multilabel classificationEneldo Loza Mencía — 2013
• An Evaluation of Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal DomainEneldo Loza Mencía, Johannes Fürnkranz — 2007
• Optimizing error-reject trade off in recognition systemsN. Gorski — 1997
• Round robin ensemblesJohannes Fürnkranz — 2003
• Reconhecimento das configurações de mão da LIBRAS a partir de malhas 3DAndres Porfirio — 2013
• Support vector machine coverage driven verification for communication coresEdgar L. Romero, Raúl Acosta, Marius Strum — 2009
• Prediction of Protein Subcellular Localization using Label Power-set Classification and Multi-class Probability EstimatesSang-Mun Chi — 2014
• A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selectionJan Luts, Arend Heerschap, Johan A. K. Suykens — 2007
• Arabic handwritten digit recognitionSherif Abdleazeem, Ezzat El‐Sherif — 2008
• Supervised learning algorithms for multi-class classification problems with partial class membershipsWillem Waegeman, Jan Verwaeren, Bram Slabbinck — 2011

Related papers

• Reducing multiclass to binary: a unifying approach for margin classifiersErin L. Allwein, Robert E. Schapire, Y. Singer — 2001
• Classification by Pairwise CouplingTrevor Hastie, Robert Tibshirani — 1997
• Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood MethodsJohn Platt — 1999
• Probability Estimates for Multi-class Classification by Pairwise CouplingTingfan Wu, Chih‐Jen Lin, Ruby C. Weng — 2004
• Solving Multiclass Learning Problems via Error-Correcting Output CodesTom Dietterich, Ghulum Bakiri — 1994
• The Nature of Statistical Learning TheoryVladimir Vapnik — 1995
• Neural networks for pattern recognitionBishop, Christopher M. 1959- — 1995
• Large Margin DAGs for Multiclass ClassificationJohn Platt, Nello Cristianini, John Shawe‐Taylor — 1999