Sciweavers

284 search results - page 14 / 57
» Association-Based Natural Language Processing with Neural Ne...
Sort
View
JMLR
2010
143views more  JMLR 2010»
13 years 2 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
CONNECTION
2006
172views more  CONNECTION 2006»
13 years 8 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter
DCC
2010
IEEE
13 years 6 months ago
Neural Markovian Predictive Compression: An Algorithm for Online Lossless Data Compression
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
Erez Shermer, Mireille Avigal, Dana Shapira
ICASSP
2011
IEEE
12 years 11 months 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...
GRID
2004
Springer
14 years 1 months ago
Dynamic Service Evolution for Open Languages in the Grid and Service Oriented Architecture
Dynamic behavior is inherent in virtual organizations. Semantics has to be processed to manage dynamism and other properties like state, life cycle, faults, and others. In our pap...
Thomas Weishäupl, Erich Schikuta