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ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
16 years 24 days ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
PKDD
2001
Springer
120views Data Mining» more  PKDD 2001»
15 years 11 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
ISCA
1998
IEEE
125views Hardware» more  ISCA 1998»
15 years 11 months ago
Active Pages: A Computation Model for Intelligent Memory
Microprocessors and memory systems su er from a growing gap in performance. We introduce Active Pages, a computation model which addresses this gap by shifting data-intensive comp...
Mark Oskin, Frederic T. Chong, Timothy Sherwood
ADMA
2009
Springer
105views Data Mining» more  ADMA 2009»
15 years 10 months ago
Mining User Position Log for Construction of Personalized Activity Map
Consider a scenario in which a smart phone automatically saves the user’s positional records for personalized location-based applications. The smart phone will infer patterns of ...
Hui Fang, Wen-Jing Hsu, Larry Rudolph
IJCNN
2000
IEEE
15 years 11 months ago
A SOM Based Cluster Visualization and Its Application for False Coloring
The self-organizing map SOM is widely used as a data visualization method in various engineering applications. It performs a non-linear mapping from a high-dimensional data spac...
Johan Himberg