Skip to search formSkip to main contentSkip to account menu

Kernel method

Known as: Kernel Methods, KM, Kernel machines 
In machine learning, kernel methods are a class of algorithms for pattern analysis, whose best known member is the support vector machine (SVM). The… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
In this paper, a new modeling approach is proposed for common and specific feature extraction. The original space of a mode can… 
2011
2011
Due to its explicit modeling of the grammaticality of the output via target-side syntax, the string-to-tree model has been shown… 
2009
2009
Sparse grids, combined with gradient penalties provide an attractive tool for regularised least squares fitting. It has earlier… 
Review
2007
Review
2007
In the article the application of kernel functions – the so-called »kernel trick« – in the context of Fisher’s approach to linear… 
2005
2005
We consider the problem of learning Bayesian network classifiers that maximize the marginover a set of classification variables… 
Highly Cited
2004
Highly Cited
2004
This paper addresses the problem of coordinating multiple heterogeneous sensing platforms performing a search mission for a… 
Review
1979
Review
1979
  • J. P. Woodward
  • 1979
  • Corpus ID: 34839247
The need for secure computer systems has been identified in many areas of DoD operations, but in the past these systems have not…