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» Large Margin Classification Using the Perceptron Algorithm
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127
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CSL
2010
Springer
15 years 2 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
AAAI
2004
15 years 3 months ago
A Comparison of Techniques for Scheduling Earth Observing Satellites
Scheduling observations by coordinated fleets of Earth Observing Satellites (EOS) involves large search spaces, complex constraints and poorly understood bottlenecks; conditions w...
Al Globus, James Crawford, Jason D. Lohn, Anna Pry...
133
Voted
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 2 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
135
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SDM
2008
SIAM
119views Data Mining» more  SDM 2008»
15 years 3 months ago
An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compact...
Kanishka Bhaduri, Hillol Kargupta
EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
15 years 6 months ago
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
Michal Lemczyk, Malcolm I. Heywood