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NIPS
2000
15 years 7 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...
NIPS
2000
15 years 7 months ago
Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks
It has long been known that lateral inhibition in neural networks can lead to a winner-take-all competition, so that only a single neuron is active at a steady state. Here we show...
Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian...
IJCAI
1997
15 years 7 months ago
Mini-Buckets: A General Scheme for Generating Approximations in Automated Reasoning
The class of algorithms for approximating reasoning tasks presented in this paper is based on approximating the general bucket elimination framework. The algorithms have adjustabl...
Rina Dechter
EACL
1993
ACL Anthology
15 years 7 months ago
A Strategy for Dynamic Interpretation: a Fragment and an Implementation
The strategy for natural language interpretation presented in this paper implements the dynamics of context change by translating natural language texts into a meaning representat...
Olivier Bouchez, Jan van Eijck, Olivier Istace
AAAI
1990
15 years 7 months ago
The Design of a Marker Passing Architecture for Knowledge Processing
Knowledge processing is very demanding on computer architectures. Knowledge processing generates subcomputation paths at an exponential rate. It is memory intensive and has high c...
Wing Lee, Dan I. Moldovan