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» Refactoring Methods for Knowledge Bases
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NIPS
1992
15 years 4 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
AAAI
1993
15 years 4 months ago
On the Adequateness of the Connection Method
Roughly speaking, adequatness is the property of a theorem proving method to solve simpler problems faster than more difficult ones. Automated inferencing methods are often not ad...
Antje Beringer, Steffen Hölldobler
CLUSTER
2003
IEEE
15 years 8 months ago
Compiler Optimized Remote Method Invocation
We further increase the efficiency of Java RMI programs. Where other optimizing re-implementations of RMI use pre-processors to create stubs and skeletons and to create class spe...
Ronald Veldema, Michael Philippsen
TIP
2008
111views more  TIP 2008»
15 years 3 months ago
Unsupervised Bayesian Convex Deconvolution Based on a Field With an Explicit Partition Function
This paper proposes a non-Gaussian Markov field with a special feature: an explicit partition function. To the best of our knowledge, this is an original contribution. Moreover, th...
Jean-François Giovannelli
SAC
2009
ACM
15 years 8 months ago
Self-organized control of knowledge generation in pervasive computing systems
Pervasive computing devices (e.g., sensor networks, localization devices, cameras, etc.) are increasingly present in every aspect of our lives. These devices are able to generate ...
Gabriella Castelli, Ronaldo Menezes, Franco Zambon...