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JMLR
2010
185views more  JMLR 2010»
14 years 4 months ago
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
We introduce a simple order-based greedy heuristic for learning discriminative structure within generative Bayesian network classifiers. We propose two methods for establishing an...
Franz Pernkopf, Jeff A. Bilmes
TSP
2010
14 years 4 months ago
Learning Gaussian tree models: analysis of error exponents and extremal structures
The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
ICIP
2004
IEEE
15 years 11 months ago
Automatic image decomposition
The decomposition of an image into its primitive components, such as cartoon plus texture, is a fundamental problem in image processing. In [11, 16], the authors proposed a techni...
Kedar A. Patwardhan, Guillermo Sapiro
EUROPAR
2005
Springer
15 years 3 months ago
Automatic Tuning of PDGEMM Towards Optimal Performance
Sophisticated parallel matrix multiplication algorithms like PDGEMM exhibit a complex structure and can be controlled by a large set of parameters including blocking factors and bl...
Sascha Hunold, Thomas Rauber
LCTRTS
1998
Springer
15 years 2 months ago
Automatic Accurate Time-Bound Analysis for High-Level Languages
This paper describes a general approach for automatic and accurate time-bound analysis. The approach consists of transformations for building time-bound functions in the presence ...
Yanhong A. Liu, Gustavo Gomez