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» Algorithms for Large Scale Markov Blanket Discovery
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AAAI
2011
12 years 7 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
JMLR
2012
11 years 10 months ago
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...
ICASSP
2011
IEEE
12 years 11 months ago
Fast network querying algorithm for searching large-scale biological networks
Network querying aims to search a large network for subnetwork regions that are similar to a given query network. In this paper, we propose a novel algorithm for querying large sc...
Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon
DAC
2008
ACM
14 years 8 months ago
Faster symmetry discovery using sparsity of symmetries
Many computational tools have recently begun to benefit from the use of the symmetry inherent in the tasks they solve, and use general-purpose graph symmetry tools to uncover this...
Paul T. Darga, Karem A. Sakallah, Igor L. Markov
ICIP
2007
IEEE
14 years 9 months ago
Common Spatial Pattern Discovery by Efficient Candidate Pruning
Automatically discovering common visual patterns in images is very challenging due to the uncertainties in the visual appearances of such spatial patterns and the enormous computa...
Junsong Yuan, Zhu Li, Yun Fu, Ying Wu, Thomas S. H...