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» The importance of learning in fuzzy systems
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FSS
2002
106views more  FSS 2002»
13 years 7 months ago
Comments on "A fuzzy backpropagation algorithm"
We comment on the learning properties of the fuzzy backpropagation algorithm introduced in Stoeva and Nikov (Fuzzy Sets and Systems 112 (2000) 27). c 2001 Elsevier Science B.V. Al...
Gareth Jones, Philippe De Wilde
ASIAMS
2008
IEEE
14 years 2 months ago
HiNFRA: Hierarchical Neuro-Fuzzy Learning for Online Risk Assessment
Our previous research illustrated the design of fuzzy logic based online risk assessment for Distributed Intrusion Prediction and Prevention Systems (DIPPS) [3]. Based on the DIPP...
Kjetil Haslum, Ajith Abraham, Svein J. Knapskog
GIS
2000
ACM
13 years 11 months ago
Metric operations on fuzzy spatial objects in databases
Uncertainty management for geometric data is currently an important problem for (extensible) databases in general and for spatial databases, image databases, and GIS in particular...
Markus Schneider
ACL
2010
13 years 5 months ago
Importance-Driven Turn-Bidding for Spoken Dialogue Systems
Current turn-taking approaches for spoken dialogue systems rely on the speaker releasing the turn before the other can take it. This reliance results in restricted interactions th...
Ethan Selfridge, Peter A. Heeman
CVPR
2004
IEEE
14 years 9 months ago
Learning Object Detection from a Small Number of Examples: The Importance of Good Features
Face detection systems have recently achieved high detection rates[11, 8, 5] and real-time performance[11]. However, these methods usually rely on a huge training database (around...
Kobi Levi, Yair Weiss