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HIS
2008
15 years 2 months ago
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Hernán Ahumada, Guillermo L. Grinblat, Luca...
NAACL
2007
15 years 2 months ago
A Random Text Model for the Generation of Statistical Language Invariants
A novel random text generation model is introduced. Unlike in previous random text models, that mainly aim at producing a Zipfian distribution of word frequencies, our model also ...
Chris Biemann
113
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GEOINFO
2003
15 years 2 months ago
A Strategy for the Interpolation of Surfaces through the Use of Basis Functions
For the construction of digital terrain models based on surface interpolation, it is defined a bivariate function ¡£¢¥¤§¦©¨ that interpolates a finite set of  sample ...
Edson Ricardo de Andrade Silva, Creto Augusto Vida...
NIPS
2004
15 years 2 months ago
Using the Equivalent Kernel to Understand Gaussian Process Regression
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show (1) how to appro...
Peter Sollich, Christopher K. I. Williams
NIPS
2003
15 years 2 months ago
When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
We interpret non-negative matrix factorization geometrically, as the problem of finding a simplicial cone which contains a cloud of data points and which is contained in the posi...
David L. Donoho, Victoria Stodden