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» Approximating Transitivity in Directed Networks
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IJCNN
2006
IEEE
14 years 2 months ago
A Comparison between Recursive Neural Networks and Graph Neural Networks
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sa...
ICML
2007
IEEE
14 years 9 months ago
Incremental Bayesian networks for structure prediction
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
Ivan Titov, James Henderson
ANCS
2009
ACM
13 years 6 months ago
A NFA-based programmable regular expression match engine
Pattern matching is the most computation intensive task of a network intrusion detection system (NIDS). In this paper we present a hardware architecture to speed up the pattern mat...
Derek Pao
ECML
2006
Springer
14 years 5 days ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang
SAC
2010
ACM
14 years 3 months ago
T2D: a peer to peer trust management system based on disposition to trust
While the trust paradigm is essential to broadly extend the communication between the environment’s actors, the evaluation of trust becomes a challenge when confronted with init...
Rachid Saadi, Jean-Marc Pierson, Lionel Brunie