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» Prediction on Spike Data Using Kernel Algorithms
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COLT
1998
Springer
15 years 1 months ago
Large Margin Classification Using the Perceptron Algorithm
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method. Like...
Yoav Freund, Robert E. Schapire
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 1 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
IGARSS
2009
14 years 7 months ago
Parallel Implementation of Endmember Extraction Algorithms using NVidia Graphical Processing Units
Spectral mixture analysis is an important task for remotely sensed hyperspectral data interpretation. In spectral unmixing, both the determination of spectrally pure signatures (e...
Antonio Plaza, Javier Plaza, Sergio Sánchez
ICONIP
2004
14 years 11 months ago
Semi-supervised Kernel-Based Fuzzy C-Means
This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into...
Daoqiang Zhang, Keren Tan, Songcan Chen
70
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ASSETS
2008
ACM
14 years 11 months ago
Adapting word prediction to subject matter without topic-labeled data
Word prediction helps to increase communication rate when using Augmentative and Alternative Communication devices. Basic prediction systems offer topically inappropriate predicti...
Keith Trnka