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IJCAI
2007
14 years 11 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
NN
2002
Springer
137views Neural Networks» more  NN 2002»
14 years 9 months ago
Acetylcholine in cortical inference
Acetylcholine (ACh) plays an important role in a wide variety of cognitive tasks, such as perception, selective attention, associative learning, and memory. Extensive experimental...
Angela J. Yu, Peter Dayan
ICDAR
2011
IEEE
13 years 9 months ago
Co-training for Handwritten Word Recognition
—To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on...
Volkmar Frinken, Andreas Fischer, Horst Bunke, Ali...
BC
1998
94views more  BC 1998»
14 years 9 months ago
A neural network study of precollicular saccadic averaging
Saccadic averaging is the phenomenon that two simultaneously presented retinal inputs result in a saccade with an endpoint located on an intermediate position between the two stimu...
Karin P. Krommenhoek, W. A. J. J. Wiegerinck
JMLR
2010
129views more  JMLR 2010»
14 years 4 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert