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» Distributed Multi-Agent Probabilistic Reasoning With Bayesia...
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NIPS
2000
15 years 29 days 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...
IPSN
2004
Springer
15 years 5 months ago
Adaptive clock synchronization in sensor networks
Recent advances in technology have made low cost, low power wireless sensors a reality. Clock synchronization is an important service in any distributed system, including sensor n...
Santashil PalChaudhuri, Amit Kumar Saha, David B. ...
ECSQARU
1999
Springer
15 years 3 months ago
A Critique of Inductive Causation
: In this paper we consider the problem of inducing causal relations from statistical data. Although it is well known that a correlation does not justify the claim of a causal rela...
Christian Borgelt, Rudolf Kruse
BMCBI
2008
146views more  BMCBI 2008»
14 years 11 months ago
Rank-based edge reconstruction for scale-free genetic regulatory networks
Background: The reconstruction of genetic regulatory networks from microarray gene expression data has been a challenging task in bioinformatics. Various approaches to this proble...
Guanrao Chen, Peter Larsen, Eyad Almasri, Yang Dai
UAI
1996
15 years 28 days ago
Why is diagnosis using belief networks insensitive to imprecision in probabilities?
Recent research has found that diagnostic performance with Bayesian belief networks is often surprisingly insensitive to imprecision in the numerical probabilities. For example, t...
Max Henrion, Malcolm Pradhan, Brendan Del Favero, ...