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JMLR
2012
13 years 9 days ago
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
Marco Grzegorczyk, Dirk Husmeier
LPAR
2005
Springer
15 years 3 months ago
Matching with Regular Constraints
We describe a sound, terminating, and complete matching algorithm for terms built over flexible arity function symbols and context, function, sequence, and individual variables. C...
Temur Kutsia, Mircea Marin
NIPS
2004
14 years 11 months ago
Distributed Information Regularization on Graphs
We provide a principle for semi-supervised learning based on optimizing the rate of communicating labels for unlabeled points with side information. The side information is expres...
Adrian Corduneanu, Tommi Jaakkola
ISBI
2009
IEEE
15 years 4 months ago
Tunable Tensor Voting for Regularizing Punctate Patterns of Membrane-Bound Protein Signals
Membrane-bound protein, expressed in the basal-lateral region, is heterogeneous and an important endpoint for understanding biological processes. At the optical resolution, membra...
Leandro A. Loss, George Bebis, Bahram Parvin
ICASSP
2011
IEEE
14 years 1 months ago
A-Functions: A generalization of Extended Baum-Welch transformations to convex optimization
We introduce the Line Search A-Function (LSAF) technique that generalizes the Extended-Baum Welch technique in order to provide an effective optimization technique for a broader s...
Dimitri Kanevsky, David Nahamoo, Tara N. Sainath, ...