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» Learning Rule Representations from Boolean Data
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119
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SARA
2007
Springer
15 years 6 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
ICCV
2011
IEEE
14 years 18 days ago
Regression from Local Features for Viewpoint and Pose Estimation
In this paper we propose a framework for learning a regression function form a set of local features in an image. The regression is learned from an embedded representation that re...
Marwan Torki, Ahmed Elgammal
PAAMS
2010
Springer
14 years 10 months ago
Variable Length-Based Genetic Representation to Automatically Evolve Wrappers
The Web has been the star service on the Internet, however the outsized information available and its decentralized nature has originated an intrinsic difficulty to locate, extract...
David F. Barrero, Antonio González-Pardo, M...
ICDAR
2009
IEEE
15 years 7 months ago
Isolated Handwritten Farsi Numerals Recognition Using Sparse and Over-Complete Representations
A new isolated handwritten Farsi numeral recognition algorithm is proposed in this paper, which exploits the sparse and over-complete structure from the handwritten Farsi numeral ...
Wumo Pan, Tien D. Bui, Ching Y. Suen
99
Voted
DLOG
1996
15 years 1 months ago
Description Logic as Core Machinery for the Automatic Generation of Multilingual Technical Documents
Our project aims at the automatic generation of multilingual text for product maintenance and documentation from a structured knowledge representation. The language independent re...
Thorsten Liebig, Dietmar Rösner