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TNN
1998
92views more  TNN 1998»
15 years 6 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
AAAI
2008
15 years 9 months ago
Lifted First-Order Belief Propagation
Unifying first-order logic and probability is a long-standing goal of AI, and in recent years many representations combining aspects of the two have been proposed. However, infere...
Parag Singla, Pedro Domingos
TIT
2008
95views more  TIT 2008»
15 years 6 months ago
Distributed Estimation Via Random Access
The problem of distributed Bayesian estimation is considered in the context of a wireless sensor network. The Bayesian estimation performance is analyzed in terms of the expected F...
Animashree Anandkumar, Lang Tong, Ananthram Swami
ICC
2007
IEEE
120views Communications» more  ICC 2007»
15 years 10 months ago
Empirical Study on Inferring BGP Routing Instability and its Location Based on Single Point Observation
As the Internet has become a communication infrastructure, inter-domain routing instabilities have become prone to serious problems. Some studies have proposed methods that infer i...
Tomohiko Ogishi, Yuichiro Hei, Shigehiro Ano, Toru...
IPM
2000
99views more  IPM 2000»
15 years 6 months ago
Searching the web by constrained spreading activation
Intelligent Information Retrieval is concerned with the application of intelligent techniques, like for example semantic networks, neural networks and inference nets to Informatio...
Fabio Crestani, Puay Leng Lee