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» The Kernel Least-Mean-Square Algorithm
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ECCV
2002
Springer
16 years 5 months ago
Robust Computer Vision through Kernel Density Estimation
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...
Haifeng Chen, Peter Meer
124
Voted
ECML
2007
Springer
15 years 9 months ago
Weighted Kernel Regression for Predicting Changing Dependencies
Abstract. Consider the online regression problem where the dependence of the outcome yt on the signal xt changes with time. Standard regression techniques, like Ridge Regression, d...
Steven Busuttil, Yuri Kalnishkan
ICMLA
2008
15 years 5 months ago
Text Classification Using Tree Kernels and Linguistic Information
Standard Machine Learning approaches to text classification use the bag-of-words representation of documents to deceive the classification target function. Typical linguistic stru...
Teresa Gonçalves, Paulo Quaresma
120
Voted
SERP
2003
15 years 4 months ago
Automatic Benchmarking and Optimization of Codes: An Experience with Numerical Kernels
Abstract New algorithms are constantly developed in search of better or faster results. Many variants of code are often tried while searching for the best solution. When the number...
José R. Herrero, Juan J. Navarro
121
Voted
AAAI
1996
15 years 4 months ago
A Kernel-Oriented Model for Coalition-Formation in General Environments: Implementation and Results
In this paper we present a model for coalition formation and payo distribution in general environments. We focus on a reduced complexity kernel-oriented coalition formation model,...
Onn Shehory, Sarit Kraus