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» Generative Modeling by PRISM
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123
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NIPS
2008
15 years 4 months ago
Generative versus discriminative training of RBMs for classification of fMRI images
Neuroimaging datasets often have a very large number of voxels and a very small number of training cases, which means that overfitting of models for this data can become a very se...
Tanya Schmah, Geoffrey E. Hinton, Richard S. Zemel...
113
Voted
ADBIS
2006
Springer
109views Database» more  ADBIS 2006»
15 years 9 months ago
Content Is Capricious: A Case for Dynamic System Generation
Abstract. Database modeling is based on the assumption of a high regularity of its application areas, an assumption which applies to both the structure of data and the behavior of ...
Hans-Werner Sehring, Sebastian Bossung, Joachim W....
119
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ICSE
2008
IEEE-ACM
16 years 4 months ago
Using JULE to generate a compliance test suite for the UML standard
The Java-UML Lightweight Enumerator (JULE) tool implements a vitally important aspect of the framework for software tool certification - test suite generation. The framework uses ...
Panuchart Bunyakiati, Anthony Finkelstein, James S...
121
Voted
ACL
2007
15 years 4 months ago
Generating Complex Morphology for Machine Translation
We present a novel method for predicting inflected word forms for generating morphologically rich languages in machine translation. We utilize a rich set of syntactic and morphol...
Einat Minkov, Kristina Toutanova, Hisami Suzuki
175
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NECO
1998
116views more  NECO 1998»
15 years 3 months ago
GTM: The Generative Topographic Mapping
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
Christopher M. Bishop, Markus Svensén, Chri...