Adaptive Mixtures of Local Experts

Keywords

Computer science, Simple (philosophy), Artificial intelligence, Task (project management), Set (abstract data type)

References

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• Computational approaches to cognition: top-down approaches.James L. McClelland, David C. Plaut — 1993
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• Local Learning AlgorithmsLéon Bottou, Vladimir Vapnik — 1992
• What's Special about the Development of the Human Mind/Brain?Annette Karmiloff‐Smith, Andy Clark — 1993
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• The Path Beyond First‐Order ConnectionismWilliam Bechtel — 1993
• The Meta-Pi Network: Building Distributed Knowledge Representations for Robust Multisource Pattern RecognitionJ.B. Hampshire, Alex Waibel — 1992
• Maximum Likelihood Competitive LearningSteven J. Nowlan — 1989
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• Learning Mixture Models of Spatial CoherenceSuzanna Becker, Geoffrey E. Hinton — 1993
• Fast Learning in Networks of Locally-Tuned Processing UnitsJohn Moody, Christian J. Darken — 1989
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• Mixture models : inference and applications to clusteringGeoffrey J. McLachlan, K. E. Basford — 1988
• Real-time CBR-agent with a mixture of experts in the reuse stage to classify and detect DoS attacksCristian Pinzón, Juan F. De Paz, Martí Navarro — 2011

Cited by

• Incremental Purposive Behavior Acquisition based on Modular Learning SystemTomoki Nishi, Yasutake Takahashi, Minoru Asada — 2006
• Methods For Combining Experts' Probability Assessments新太郎 山本 — 1995
• A lateral contribution learning algorithm for multi MLP architectureNicolas Pican, Jean‐Claude Fort, Frédéric Alexandre — 1994
• Computational intelligence in early diabetes diagnosis: a review.N.A. Shankaracharya, Devang Odedra, Subir Samanta — 2010
• On-line EM Algorithm for the Normalized Gaussian NetworkJames McSherry — 2000
• A comparison of linear regression and neural network methods for predicting excess returns on large stocksVijay S. Desai, Rakesh Bharati — 1998
• GOME level 1-to-2 data processor version 3.0: a major upgrade of the GOME/ERS-2 total ozone retrieval algorithm.Robert Spurr, Diego Loyola, Werner Thomas — 2005
• Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing mapP. Glaister — 2006
• Local Classifier Weighting by Quadratic ProgrammingMark T. Stacey, Ian Rutherfurd — 2008
• An ensemble-based approach to imputation of moderate-density genotypes for genomic selection with application to Angus cattle.А. Н. Петров — 2012
• Market Channel Analysis of Ornamental Plants using Clustering ProceduresMahesh Pandit, Krishna P. Paudel, Roger A. Hinson — 2013
• MultiStage Cascading of Multiple Classifiers: One Man's Noise is Another Man's DataC. Kaynak, Ethem Alpaydın — 2000
• Blending and choosing within one mind: Should judgments be based on exemplars, rules or both?Stefan M. Herzog, Bettina von Helversen — 2013
• Investigation of the process in the construction of 3D models from 2D sketches.Yuan Sun — 2006
• Convolutional Mixture of Experts Model: A Comparative Study on Automatic Macular Diagnosis in Retinal Optical Coherence Tomography ImagingSandeep Salunke, Jay Weerawardena, Janet R. McColl‐Kennedy — 2019
• Teaching and Research Practices in Pattern Recognition (Personal Views and Experiences)Ludmila I. Kuncheva — 2010
• Image Compression Using Cascaded Neural NetworksChigozie Obiegbu — 2003
• Learning to Solve Markovian Decision ProcessesSatinder Singh — 1993
• A neuro-based expert system for facility layout constructionYun‐Kung Chung — 1999
• Additive Modular Learning in PreemptronsGregory M. Saunders, John F. Kolen, Peter J. Angeline — 1997

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