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» Learning Weighted Automata
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IEEECIT
2009
IEEE
14 years 4 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
CADE
2008
Springer
14 years 10 months ago
Automata-Based Axiom Pinpointing
Axiom pinpointing has been introduced in description logics (DL) to help the user understand the reasons why consequences hold by computing minimal subsets of the knowledge base th...
Franz Baader, Rafael Peñaloza
ICRA
2009
IEEE
179views Robotics» more  ICRA 2009»
14 years 4 months ago
Automatic weight learning for multiple data sources when learning from demonstration
— Traditional approaches to programming robots are generally inaccessible to non-robotics-experts. A promising exception is the Learning from Demonstration paradigm. Here a polic...
Brenna Argall, Brett Browning, Manuela M. Veloso
TSMC
1998
97views more  TSMC 1998»
13 years 9 months ago
Parallel algorithms for modules of learning automata
— Parallel algorithms are presented for modules of learning automata with the objective of improving their speed of convergence without compromising accuracy. A general procedure...
M. A. L. Thathachar, M. T. Arvind
ICRA
2000
IEEE
78views Robotics» more  ICRA 2000»
14 years 2 months ago
Real-Time Robot Learning with Locally Weighted Statistical Learning
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...