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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.
2013
2013
Non-negative sparse coding for motion extraction
Visual motion is a rich source of information that is directly coupled to the underlying shape of a moving object. One way to… 
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… 
2003
2003
Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries
Many techniques in the social sciences and graph theory deal with the problem of examining and analyzing patterns found in the… 
Highly Cited
2001
Highly Cited
2001
Learning with labeled and unlabeled dataMatthias
Review
1999
Review
1999
Tree Structured Self-Organizing Maps
1994
1994
Parsing coordination generatively
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