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» Methods to Learn Abstract Scheduling Models
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SCOPES
2004
Springer
14 years 2 months ago
Compact Procedural Implementation in DSP Software Synthesis Through Recursive Graph Decomposition
Abstract. Synthesis of digital signal processing (DSP) software from dataflow-based formal models is an effective approach for tackling the complexity of modern DSP applications. I...
Ming-Yung Ko, Praveen K. Murthy, Shuvra S. Bhattac...
ICAI
2008
13 years 10 months ago
Nonrestrictive Concept-Acquisition by Representational Redescription
coarse procedures or very abstract frames from the point of view of algorithm, because some crucial issues like the representation, evolution, storage, and learning process of conc...
Hui Wei, Yan Chen
AMAI
2005
Springer
13 years 8 months ago
Robust inference of trees
Abstract. This paper is concerned with the reliable inference of optimal treeapproximations to the dependency structure of an unknown distribution generating data. The traditional ...
Marco Zaffalon, Marcus Hutter
MLDM
2005
Springer
14 years 2 months ago
Multivariate Discretization by Recursive Supervised Bipartition of Graph
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
Sylvain Ferrandiz, Marc Boullé
MICCAI
2006
Springer
14 years 9 months ago
Boosting and Nonparametric Based Tracking of Tagged MRI Cardiac Boundaries
Abstract. In this paper we present an accurate cardiac boundary tracking method for 2D tagged MRI time sequences. This method naturally integrates the motion and the static local a...
Zhen Qian, Dimitris N. Metaxas, Leon Axel