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» Two Kinds of Probabilistic Induction
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ICML
1991
IEEE
13 years 9 months ago
Constructive Induction in Knowledge-Based Neural Networks
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
Geoffrey G. Towell, Mark Craven, Jude W. Shavlik
COGSCI
2004
74views more  COGSCI 2004»
13 years 6 months ago
Feature centrality and property induction
A feature is central to a concept to the extent that other features depend on it. Four studies tested the hypothesis that people will project a feature from a base concept to a ta...
Constantinos Hadjichristidis, Steven A. Sloman, Ro...
FUIN
2002
132views more  FUIN 2002»
13 years 6 months ago
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
Grzegorz Góra, Arkadiusz Wojna
DICTA
2007
13 years 7 months ago
On the Induction of Topological Maps from Sequences of Colour Histograms
This paper presents an appearance–based method to automatically determine places from vision data for topological mapping. The approach exploits the continuity of the visual app...
Felix Werner, Joaquin Sitte, Frédéri...
EDBTW
2010
Springer
14 years 1 months ago
Updating probabilistic XML
We investigate the complexity of performing updates on probabilistic XML data for various classes of probabilistic XML documents of different succinctness. We consider two elemen...
Evgeny Kharlamov, Werner Nutt, Pierre Senellart