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» Labeling Points with Weights
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98
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IWANN
2005
Springer
15 years 6 months ago
Balanced Boosting with Parallel Perceptrons
Boosting constructs a weighted classifier out of possibly weak learners by successively concentrating on those patterns harder to classify. While giving excellent results in many ...
Iván Cantador, José R. Dorronsoro
90
Voted
SWAT
1998
Springer
108views Algorithms» more  SWAT 1998»
15 years 5 months ago
Formal Language Constrained Path Problems
Given an alphabet , a (directed) graph G whose edges are weighted and -labeled, and a formal language L , the formal-language-constrained shortest/simple path problem consists of ...
Christopher L. Barrett, Riko Jacob, Madhav V. Mara...
132
Voted
FUZZIEEE
2007
IEEE
15 years 4 months ago
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Edwin Lughofer, Plamen P. Angelov, Xiaowei Zhou
147
Voted
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 2 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
CAINE
2007
15 years 2 months ago
A Simple Fuzzy Neural Network
Our simple fuzzy neural network first thins the set of exemplar input feature vectors and then centers a Gaussian function on each remaining one and saves its associated output la...
Carl G. Looney, Sergiu Dascalu