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» A Case Study for Learning from Imbalanced Data Sets
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SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
16 years 3 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
187
Voted
SADM
2010
173views more  SADM 2010»
15 years 20 days ago
Data reduction in classification: A simulated annealing based projection method
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Tian Siva Tian, Rand R. Wilcox, Gareth M. James
UAI
1996
15 years 7 months ago
Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network
We discuss Bayesian methods for learning Bayesian networks when data sets are incomplete. In particular, we examine asymptotic approximations for the marginal likelihood of incomp...
David Maxwell Chickering, David Heckerman
GIS
1992
ACM
15 years 10 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
PKDD
2001
Springer
120views Data Mining» more  PKDD 2001»
15 years 10 months ago
Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation
We present a method for distinguishing two subtly different mental states, on the basis of the underlying brain activation measured with fMRI. The method uses a classifier to lea...
Francisco Pereira, Marcel Just, Tom M. Mitchell