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HIS
2008
15 years 4 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...
NIPS
2007
15 years 4 months ago
Collapsed Variational Inference for HDP
A wide variety of Dirichlet-multinomial ‘topic’ models have found interesting applications in recent years. While Gibbs sampling remains an important method of inference in su...
Yee Whye Teh, Kenichi Kurihara, Max Welling
NIPS
2007
15 years 4 months ago
Predictive Matrix-Variate t Models
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
Shenghuo Zhu, Kai Yu, Yihong Gong
AVI
2004
15 years 4 months ago
Interactive data summarization: an example application
Summarizing large multidimensional datasets is a challenging task, often requiring extensive investigation by a user to identify overall trends and important exceptions to them. W...
Neal Lesh, Michael Mitzenmacher
GEOINFO
2004
15 years 4 months ago
Design and Implementation Issues for Explorative Location-based Applications: The NexusRallye
: Explorative Location-based Applications (eLBA), define a new class of applications that rely on both positioning (i.e. location information) and georeferenced information in addi...
Daniela Nicklas, Nicola Hönle, Michael Molten...