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.
2018
2018
Edge computing pushes the cloud computing boundaries beyond uncertain network resource by leveraging computational processes… 
2013
2013
In this paper, a new modeling approach is proposed for common and specific feature extraction. The original space of a mode can… 
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… 
2006
2006
This work presents a method founded in instancebased learning for inductive (memory-based) reasoning on ABoxes. The method, which… 
Highly Cited
2004
Highly Cited
2004
This paper addresses the problem of coordinating multiple heterogeneous sensing platforms performing a search mission for a… 
2002
2002
Forward Decoding Kernel Machines (FDKM) combine largemargin classifiers with Hidden Markov Models (HMM) for Maximum a Posteriori… 
1987
1987
A good problem representation incorporates important problem constraints while hiding superfluous detail. This paper presents… 
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…