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ICML
2008
IEEE
16 years 7 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
HICSS
2009
IEEE
134views Biometrics» more  HICSS 2009»
16 years 1 months ago
Exploring Two Enterprise Semantic Integration Systems
An Enterprise Semantic Integration System (ESIS) provides cross-domain and cross-department insights by normalizing and merging structured, semistructured, and unstructured data s...
Mark Ginsburg, Alex Kass, Peter Z. Yeh
JIB
2007
95views more  JIB 2007»
15 years 6 months ago
Integration of constraints documented in SBML, SBO, and the SBML Manual facilitates validation of biological models
The creation of quantitative, simulatable, Systems Biology Markup Language (SBML) models that accurately simulate the system under study is a time-intensive manual process that re...
Allyson L. Lister, Matthew R. Pocock, Anil Wipat
COLING
2000
15 years 8 months ago
Improving SMT quality with morpho-syntactic analysis
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
Sonja Nießen, Hermann Ney
ICTAI
2007
IEEE
16 years 28 days ago
Ontology-Based Object Recognition for Remote Sensing Image Interpretation
The multiplication of Very High Resolution (spatial or spectral) remote sensing images appears to be an opportunity to identify objects in urban and periurban areas. The classifi...
Nicolas Durand, Sébastien Derivaux, Germain...