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» Data Aggregation Sets in Adaptive Data Model
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SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
15 years 8 months ago
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Yijun Sun, Sinisa Todorovic, Steve Goodison
CORR
2010
Springer
181views Education» more  CORR 2010»
15 years 7 months ago
Data Hiding Techniques Using Prime and Natural Numbers
In this paper, a few novel data hiding techniques are proposed. These techniques are improvements over the classical LSB data hiding technique and the Fibonacci LSB data-hiding te...
Sandipan Dey, Ajith Abraham, Bijoy Bandyopadhyay, ...
CORR
2008
Springer
80views Education» more  CORR 2008»
15 years 7 months ago
Multi-Layer Perceptrons and Symbolic Data
In some real world situations, linear models are not sufficient to represent accurately complex relations between input variables and output variables of a studied system. Multila...
Fabrice Rossi, Brieuc Conan-Guez
TNN
2008
129views more  TNN 2008»
15 years 6 months ago
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
Johan A. K. Suykens
JMLR
2012
13 years 9 months ago
Gaussian Processes for time-marked time-series data
In many settings, data is collected as multiple time series, where each recorded time series is an observation of some underlying dynamical process of interest. These observations...
John Cunningham, Zoubin Ghahramani, Carl Edward Ra...