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» Extracting Propositions from Trained Neural Networks
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NIPS
2000
14 years 11 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
RIAO
2000
14 years 11 months ago
Learning for Sequence Extraction Tasks
We consider the application of machine learning techniques for sequence modeling to Information Retrieval (IR) and surface Information Extraction (IE) tasks. We introduce a generi...
Massih-Reza Amini, Hugo Zaragoza, Patrick Gallinar...
ISNN
2005
Springer
15 years 3 months ago
Application of Multi-weighted Neuron for Iris Recognition
Abstract. In this paper, from the cognition science point of view, we constructed a neuron of multi-weighted neural network, and proposed a new method for iris recognition based on...
Wenming Cao, Jianhui Hu, Gang Xiao, Shoujue Wang
ISMVL
2000
IEEE
105views Hardware» more  ISMVL 2000»
15 years 2 months ago
Computational Neurobiology Meets Semiconductor Engineering
Many believe that the most important result to come out of the last ten years of neural network research is the significant change in perspective in the neuroscience community tow...
Dan W. Hammerstrom
WCE
2007
14 years 11 months ago
Speech Recognition Model for Tamil Stops
—In this paper, a novel approach for implementing Tamil isolated speech phoneme recognition is described. While most of the literature on Automatic Speech Recognition (ASR) is ba...
Arumugam Rathinavelu, Anupriya Rajkumar, A. S. Mut...