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NIPS
2007
13 years 10 months ago
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
In online handwriting recognition the trajectory of the pen is recorded during writing. Although the trajectory provides a compact and complete representation of the written outpu...
Alex Graves, Santiago Fernández, Marcus Liw...
ICASSP
2011
IEEE
13 years 9 days ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
PERCOM
2007
ACM
14 years 8 months ago
XCML: A Runtime Representation for the Context Modelling Language
The Context Modelling Language (CML), derived from Object Role Modeling (ORM), is a powerful approach for capturing the pertinent object types and relationships between those type...
Ricky Robinson, Karen Henricksen, Jadwiga Indulska
NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 8 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
ICANN
2001
Springer
14 years 1 months ago
Independent Variable Group Analysis
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
Krista Lagus, Esa Alhoniemi, Harri Valpola