A variational EM approach to predictive uncertainty
- Author
- HARVA, Markus1
[1] Laboratory of Computer and Information Science, Helsinki University of Technology, P.O. Box 5400, 02015 Espoo, Finland - Issue title
- Computational intelligence in earth and environmental sciences
- Author (monograph)
- CHERKASSKY, Vladimir (Editor)1 ; HSIEH, William (Editor)2 ; KRASNOPOLSKY, Vladimir (Editor)3 ; SOLOMATINE, Dimitri (Editor)4 ; VALDES, Julio (Editor)5
[1] University of Minnesota, United States
[2] University of British Columbia, Canada
[3] National Oceanic and Atmospheric Administration, United States
[4] UNESCO-IHE Institute for Water Education, Hydroinformatics and Knowledge Management Department, P.O. Box 3015, 2601 Delft, Netherlands
[5] National Research Council Canada, Canada - Source
Neural networks. 2007, Vol 20, Num 4, pp 550-558, 9 p ; ref : 1/2 p
- ISSN
- 0893-6080
- Scientific domain
- Electronics; Computer science; Neurology
- Publisher
- Elsevier Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Environmental modelling Heteroskedasticity Nonlinear regression Predictive uncertainty Robust modelling Variational EM
- Keyword (fr)
- Apprentissage Calcul variationnel Compétition Conditionnement Densité probabilité Fiabilité Flexibilité Incertitude Informatique diffuse Intelligence artificielle Marché concurrentiel Modélisation Méthode variable complexe Paramètre dispersion Probabilité conditionnelle Processus acquisition Prédiction Psychométrie Régression non linéaire Surveillance écologique Viabilité
- Keyword (en)
- Learning Variational calculus Competition Conditioning Probability density Reliability Flexibility Uncertainty Pervasive computing Artificial intelligence Open market Modeling Complex variable method Scale parameter Conditional probability Acquisition process Prediction Psychometrics Non linear regression Environmental monitoring Viability
- Keyword (es)
- Aprendizaje Cálculo de variaciones Competencia Acondicionamiento Densidad probabilidad Fiabilidad Flexibilidad Incertidumbre Informática difusa Inteligencia artificial Libre mercado Modelización Método variable compleja Parámetro dispersión Probabilidad condicional Proceso adquisición Predicción Psicometría Regresión no lineal Vigilancia ecológica Viabilidad
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C02 Learning and adaptive systems
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18921888
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.neunet.2007.04.010 
https://dx.doi.org/10.1016/j.neunet.2007.04.010
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