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Generative model

Known as: Generative statistical model 
In probability and statistics, a generative model is a model for randomly generating observable data values, typically given some hidden parameters… 
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Related topics

Related topics

31 relations
AutoencoderAveraged one-dependence estimatorsBoltzmann machineCondensation algorithm

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
MapReduce based distributed learning algorithm for Restricted Boltzmann Machine
2015
2015
A restricted Boltzmann machine based two-lead electrocardiography classification
An restricted Boltzmann machine learning algorithm were proposed in the two-lead heart beat classification problem. ECG… 
2015
2015
An extension of topic models for text classification: A term weighting approach
Text classification has become a critical step in big data analytics. For supervised machine learning approaches to text… 
2010
2010
A general procedure for learning mixtures of independent component analyzers
2009
2009
Recognition of Degraded Handwritten Characters Using Local Features
The main problems of Optical Character Recognition (OCR) systems are solved if printed latin text is considered. Since OCR… 
2009
2009
Multi-view face recognition based on tensor subspace analysis and view manifold modeling
Highly Cited
2007
Highly Cited
2007
Optimum Detection of Ultrasonic Echoes Applied to the Analysis of the First Layer of a Restored Dome
Optimum detection is applied to ultrasonic signals corrupted with significant levels of grain noise. The aim is to enhance the… 
2005
2005
Simulation and complexity - how they can relate
When faced with some complex phenomena for which we can see no adequate analytic approach, it is easy to produce a simulation… 
Highly Cited
2001
Highly Cited
2001
Learning with labeled and unlabeled dataMatthias
1994
1994
Parsing coordination generatively
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