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IJCNN
2000
IEEE
14 years 1 months ago
Probabilistic Neural Network Models for Sequential Data
It has already been shown how Artificial Neural Networks (ANNs) can be incorporated into probabilistic models. In this paper we review some of the approaches which have been prop...
Yoshua Bengio
SOCIALCOM
2010
13 years 6 months ago
A Methodology for Integrating Network Theory and Topic Modeling and its Application to Innovation Diffusion
Text data pertaining to socio-technical networks often are analyzed separately from relational data, or are reduced to the fact and strength of the flow of information between node...
Jana Diesner, Kathleen M. Carley
TACS
2001
Springer
14 years 1 months ago
The UDP Calculus: Rigorous Semantics for Real Networking
Network programming is notoriously hard to understand: one has to deal with a variety of protocols (IP, ICMP, UDP, TCP etc), concurrency, packet loss, host failure, timeouts, the c...
Andrei Serjantov, Peter Sewell, Keith Wansbrough
P2P
2007
IEEE
165views Communications» more  P2P 2007»
14 years 3 months ago
An Information-Theoretic Framework for Analyzing Leak of Privacy in Distributed Hash Tables
An important security issue in DHT-based structured overlay networks is to provide anonymity to the storage nodes. Compromised routing tables in those DHTs leak information about ...
Souvik Ray, Zhao Zhang
FSMNLP
2005
Springer
14 years 2 months ago
Parsing with Lexicalized Probabilistic Recursive Transition Networks
Abstract. We present a formalization of lexicalized Recursive Transition Networks which we call Automaton-Based Generative Dependency Grammar (gdg). We show how to extract a gdg fr...
Alexis Nasr, Owen Rambow