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» A supervised learning approach for imbalanced data sets
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ICML
2006
IEEE
16 years 7 months ago
The support vector decomposition machine
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
Francisco Pereira, Geoffrey J. Gordon
ICTAI
2010
IEEE
15 years 3 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
KDD
2008
ACM
182views Data Mining» more  KDD 2008»
16 years 6 months ago
Classification with partial labels
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
Nam Nguyen, Rich Caruana
CRV
2009
IEEE
115views Robotics» more  CRV 2009»
16 years 1 months ago
Learning Model Complexity in an Online Environment
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
Dan Levi, Shimon Ullman
AAAI
2008
15 years 8 months ago
Adaptive Management of Air Traffic Flow: A Multiagent Coordination Approach
This paper summarizes recent advances in the application of multiagent coordination algorithms to air traffic flow management. Indeed, air traffic flow management is one of the fu...
Kagan Tumer, Adrian K. Agogino