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» A Class of Hypercube-Like Networks
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UAI
2008
15 years 7 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
FLAIRS
2006
15 years 7 months ago
Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
Adam Zagorecki, Mark Voortman, Marek J. Druzdzel
ISMB
1994
15 years 7 months ago
DNA Sequence Analysis Using Hierarchical ART-based Classification Network
Adaptive resonance theory (ART)describes a class of artificial neural networkarchitectures that act as classification tools whichself-organize, workin realtime, and require no ret...
Cathie LeBlanc, Charles R. Katholi, Thomas R. Unna...
CORR
2010
Springer
167views Education» more  CORR 2010»
15 years 6 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
CORR
2008
Springer
145views Education» more  CORR 2008»
15 years 6 months ago
The Capacity Region of Large Wireless Networks
The capacity region of a wireless network with n nodes is the set of all simultaneously achievable rates between all possible n2 node pairs. In this paper, we consider the questio...
Urs Niesen, Piyush Gupta, Devavrat Shah