477 search results - page 24 / 96 » Missing Data Estimation Using Polynomial Kernels |
90
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ENVSOFT
2007
15 years 13 days ago
2007
Abstract: This paper introduces a novel data-driven methodology named Evolutionary Polynomial Regression (EPR), which permits the multi-purpose modelling of physical phenomena, thr...
97
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
98
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NIPS
1994
15 years 1 months ago
1994
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
TAMC
2009
Springer
15 years 7 months ago
2009
Springer
We provide polynomial time data reduction rules for Connected Dominating Set in planar graphs and analyze these to obtain a linear kernel for the planar Connected Dominating Set pr...
120
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PRICAI
2004
Springer
15 years 5 months ago
2004
Springer
Currently, most human action recognition systems are trained with feature sets that have no missing data. Unfortunately, the use of human pose estimation models to provide more des...