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» Learning Generative Models with the Up-Propagation Algorithm
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TAICPART
2006
IEEE
134views Education» more  TAICPART 2006»
14 years 1 months ago
Integration Testing of Components Guided by Incremental State Machine Learning
The design of complex systems, e.g., telecom services, is nowadays usually based on the integration of components (COTS), loosely coupled in distributed architectures. When compon...
Keqin Li 0002, Roland Groz, Muzammil Shahbaz
ICRA
2010
IEEE
137views Robotics» more  ICRA 2010»
13 years 6 months ago
Robot reinforcement learning using EEG-based reward signals
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Iñaki Iturrate, Luis Montesano, Javier Ming...
ATAL
2003
Springer
13 years 11 months ago
Using web helper agent profiles in query generation
Personalized information agents can help overcome some of the limitations of communal Web information sources such as portals and search engines. Two important components of these...
Gabriel Somlo, Adele E. Howe
COLT
2005
Springer
14 years 1 months ago
Separating Models of Learning from Correlated and Uncorrelated Data
We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...
Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andr...
IADIS
2003
13 years 9 months ago
Pandora Case Tool: Triggers Generating for Cardinality Constraints in RDBMS
The cardinality constraint is one of the most important constraints that can be established in a conceptual model. Nevertheless, not all CASE tools for developing database support...
Harith T. Al-Jumaily, Dolores Cuadra, Paloma Mart&...