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TNN
1998
114views more  TNN 1998»
15 years 6 months ago
A new approach to artificial neural networks
: A novel approach to artificial neural networks is presented. The philosophy of this approach is based on two aspects: the design of task-specific networks, and a new neuron model...
Benedito Dias Baptista F. Filho, Eduardo Lobo Lust...
SIGDOC
2010
ACM
15 years 5 months ago
A method for measuring helpfulness in online peer review
This paper describes an original method for evaluating peer review in online systems by calculating the helpfulness of an individual reviewer's response. We focus on the deve...
William Hart-Davidson, Michael McLeod, Christopher...
ACL
2009
15 years 4 months ago
ProLiV - a Tool for Teaching by Viewing Computational Linguistics
ProLiV - Animated Process-modeler of Complex (Computational) Linguistic Methods and Theories - is a fully modular, flexible, XML-based stand-alone Java application, used for compu...
Monica Gavrila, Cristina Vertan
ICASSP
2009
IEEE
15 years 4 months ago
Adaptive predistortion of nonlinear Volterra systems using Spectral Magnitude Matching
Digital compensation of nonlinear systems is an important topic in many practical applications. This paper considers the problem of predistortion of nonlinear systems described us...
Emad Abd-Elrady, Li Gan, Gernot Kubin
JMLR
2010
139views more  JMLR 2010»
15 years 1 months ago
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...