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» Enhancing Commitment Machines
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142
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IEEEIAS
2009
IEEE
15 years 1 months ago
Full System Simulation and Verification Framework
In this paper, we propose a framework to develop highperformance system accelerator hardware and the corresponding software at system-level. This framework is designed by integrat...
Jing-Wun Lin, Chen-Chieh Wang, Chin-Yao Chang, Chu...
ICML
1998
IEEE
16 years 4 months ago
Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
Moisés Goldszmidt, Nir Friedman, Thomas J. ...
128
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ICMLA
2004
15 years 4 months ago
LASSO: a learning architecture for semantic web ontologies
Expressing web page content in a way that computers can understand is the key to a semantic web. Generating ontological information from the web automatically using machine learni...
Christopher N. Hammack, Stephen D. Scott
127
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IJCM
2008
93views more  IJCM 2008»
15 years 3 months ago
A reinforced learning control using iterative error compensation for uncertain dynamical systems
This paper investigates a learning control using iterative error compensation for uncertain systems to enhance the precision of high speed, computer controlled machining process. ...
Kuei-Shu Hsu, Wen-Shyong Yu, Ming-In Ho
123
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ICML
2007
IEEE
16 years 4 months ago
Learning random walks to rank nodes in graphs
Ranking nodes in graphs is of much recent interest. Edges, via the graph Laplacian, are used to encourage local smoothness of node scores in SVM-like formulations with generalizat...
Alekh Agarwal, Soumen Chakrabarti