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» A supervised learning approach for imbalanced data sets
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BMVC
2010
15 years 4 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
PKDD
2007
Springer
193views Data Mining» more  PKDD 2007»
16 years 17 days ago
Learning Multi-dimensional Functions: Gas Turbine Engine Modeling
Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...
Chris Drummond
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
16 years 23 days ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
UAI
2003
15 years 7 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
PERCOM
2006
ACM
16 years 6 months ago
Seamless Browsing of Visual Contents in Shared Learning Environments
This paper presents a new interaction technique for browsing large visual information bases in a collaborative environment. The ATELIER project deals with learning environments fo...
Marco Loregian, Kresimir Matkovic, Thomas Psik