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KR
2004
Springer
14 years 22 days ago
Knowledge Discovery by Reversing Inductive Knowledge Representation
In a very basic sense, the aim of knowledge discovery is to reveal structures of knowledge which can be seen as being represented by structural relationships. In this paper, we ma...
Gabriele Kern-Isberner, Jens Fisseler
AAAI
1994
13 years 8 months ago
Spatial Reasoning in Indeterminate Worlds
A possible worlds semantics for model-based spatial reasoning is presented. In this semantics, worlds are characterized by the alternative states that result from indeterminacy or...
Janice I. Glasgow
NCA
2011
IEEE
13 years 2 months ago
Privacy preserving Back-propagation neural network learning over arbitrarily partitioned data
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
Ankur Bansal, Tingting Chen, Sheng Zhong
NAACL
2003
13 years 8 months ago
Inducing History Representations for Broad Coverage Statistical Parsing
We present a neural network method for inducing representations of parse histories and using these history representations to estimate the probabilities needed by a statistical le...
James Henderson
IJCAI
1989
13 years 8 months ago
Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
David Handelman, Stephen Lane, Jack Gelfand