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» Recurrent neural network based language model
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WWW
2004
ACM
16 years 5 months ago
Learning block importance models for web pages
Some previous works show that a web page can be partitioned to multiple segments or blocks, and usually the importance of those blocks in a page is not equivalent. Also, it is pro...
Ruihua Song, Haifeng Liu, Ji-Rong Wen, Wei-Ying Ma
AROBOTS
2010
180views more  AROBOTS 2010»
15 years 4 months ago
Reactive direction control for a mobile robot: a locust-like control of escape direction emerges when a bilateral pair of model
Locusts possess a bilateral pair of uniquely identifiable visual neurons that respond vigorously to the image of an approaching object. These neurons are called the lobula giant m...
Shigang Yue, Roger D. Santer, Yoshifumi Yamawaki, ...
IJCNN
2006
IEEE
15 years 10 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
JOCN
2010
97views more  JOCN 2010»
15 years 2 months ago
Audiovisual Matching in Speech and Nonspeech Sounds: A Neurodynamical Model
■ Audiovisual speech perception provides an opportunity to investigate the mechanisms underlying multimodal processing. By using nonspeech stimuli, it is possible to investigate...
Marco Loh, Gabriele Schmid, Gustavo Deco, Wolfram ...
IJCAI
2003
15 years 5 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer