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KBS
1998
64views more  KBS 1998»
15 years 2 months ago
An incremental retrieval mechanism for case-based electronic fault diagnosis
One problem with using CBR for diagnosis is that a full case description may not be available at the beginning of the diagnosis. The standard CBR methodology requires a detailed c...
Padraig Cunningham, Barry Smyth, Andrea Bonzano
ICPR
2010
IEEE
15 years 1 months ago
Incremental Training of Multiclass Support Vector Machines
We present a new method for the incremental training of multiclass Support Vector Machines that provides computational efficiency for training problems in the case where the trai...
Symeon Nikitidis, Nikos Nikolaidis, Ioannis Pitas
ACL
2010
15 years 1 months ago
Dynamic Programming for Linear-Time Incremental Parsing
Incremental parsing techniques such as shift-reduce have gained popularity thanks to their efficiency, but there remains a major problem: the search is greedy and only explores a ...
Liang Huang, Kenji Sagae
ATAL
2010
Springer
15 years 4 months ago
Cooperative problem solving against adversary: quantified distributed constraint satisfaction problem
In this paper, we extend the traditional formalization of a Distributed Constraint Satisfaction Problems (DisCSP) to a Quantified DisCSP. A Quantified DisCSP includes several unive...
Satomi Baba, Atsushi Iwasaki, Makoto Yokoo, Marius...
IJCNN
2008
IEEE
15 years 9 months ago
A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
Eric Granger, Jean-François Connolly, Rober...