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ML
2008
ACM
222views Machine Learning» more  ML 2008»
15 years 3 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
ICWE
2005
Springer
15 years 8 months ago
Level of Detail Concepts in Data-Intensive Web Applications
Abstract. Current data-intensive Web applications, such as on-line trading, ecommerce, corporate portals and so on, are becoming more and more complex, both in terms of density of ...
Sara Comai
ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 3 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
CORR
2010
Springer
228views Education» more  CORR 2010»
15 years 1 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
DCC
2010
IEEE
15 years 10 months ago
A Symbolic Dynamical System Approach to Lossy Source Coding with Feedforward
It is known that modeling an information source via a symbolic dynamical system evolving over the unit interval, leads to a natural lossless compression scheme attaining the entro...
Ofer Shayevitz