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» Forecasting high-dimensional data
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SECON
2010
IEEE
14 years 7 months ago
Cloudy Computing: Leveraging Weather Forecasts in Energy Harvesting Sensor Systems
To sustain perpetual operation, systems that harvest environmental energy must carefully regulate their usage to satisfy their demand. Regulating energy usage is challenging if a s...
Navin Sharma, Jeremy Gummeson, David Irwin, Prasha...
DATESO
2008
156views Database» more  DATESO 2008»
14 years 11 months ago
Developing Genetic Algorithms for Boolean Matrix Factorization
Matrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for fa...
Václav Snásel, Jan Platos, Pavel Kr&...
67
Voted
ESANN
2004
14 years 11 months ago
Functional preprocessing for multilayer perceptrons
In many applications, high dimensional input data can be considered as sampled functions. We show in this paper how to use this prior knowledge to implement functional preprocessin...
Fabrice Rossi, Brieuc Conan-Guez
DMIN
2009
185views Data Mining» more  DMIN 2009»
14 years 7 months ago
A Sparse Coding Based Similarity Measure
In high dimensional data sets not all dimensions contain an equal amount of information and most of the time global features are more important than local differences. This makes ...
Sebastian Klenk, Gunther Heidemann
ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
15 years 3 months ago
Efficient Text Classification by Weighted Proximal SVM
In this paper, we present an algorithm that can classify large-scale text data with high classification quality and fast training speed. Our method is based on a novel extension o...
Dong Zhuang, Benyu Zhang, Qiang Yang, Jun Yan, Zhe...