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» Kernelization of packing problems
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ALT
2003
Springer
15 years 8 months ago
Kernel Trick Embedded Gaussian Mixture Model
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
Jingdong Wang, Jianguo Lee, Changshui Zhang
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
14 years 9 months ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 2 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
ISCAS
2008
IEEE
173views Hardware» more  ISCAS 2008»
15 years 6 months ago
Analysis of video filtering on the cell processor
— In this paper an analysis of bi-dimensional video filtering on the Cell Broadband Engine Processor is presented. To evaluate the processor, a highly adaptive filtering algori...
Arnaldo Azevedo, Cor Meenderinck, Ben H. H. Juurli...
EOR
2006
73views more  EOR 2006»
14 years 12 months ago
An exact algorithm for the knapsack sharing problem with common items
We are concerned with a variation of the knapsack problem as well as of the knapsack sharing problem, where we are given a set of n items and a knapsack of a fixed capacity. As us...
Masako Fujimoto, Takeo Yamada