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Polynomial kernel

In machine learning, the polynomial kernel is a kernel function commonly used with support vector machines (SVMs) and other kernelized models, that… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Performance tuning of scientific codes often requires tuning many different aspects like vectorization, OpenMP synchronization… 
2014
2014
In the Interval Completion problem we are given a graph G and an integer k, and the task is to turn G using at most k edge… 
2013
2013
Fault detection is a crucial step in condition based maintenance requiring. The importance of fault diagnosis necessitates an… 
2012
2012
A Ranking r-Constraint Satisfaction Problem (ranking r-CSP) consists of a ground set of vertices V, an arity r >= 2, a parameter… 
2011
2011
Sparse kernel methods are very efficient in classification problems and offer advantages such as their capacity to find sparser… 
Review
2010
Review
2010
Opinion mining is a challenging task to identify the opinions or sentiments underlying user generated contents, such as online… 
2009
2009
ABSTRAK Network profiling dapat ditentukan menggunakan clustering dan klasifikasi. Clustering mengelompokkan data intrusion… 
2008
2008
Fast and accurate on-board classification of image data is a critical part of modern satellite image processing. For Earth… 
2007
2007
When the number of support vectors is large, the classification speed of a kernel function based on support vectors classifier is… 
2007
2007
A method of Kernel Direct Discriminant Analysis(KDDA) using fractional power polynomial kernel function is proposed,and the…