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String kernel

In machine learning and data mining, a string kernel is a kernel function that operates on strings, i.e. finite sequences of symbols that need not be… 
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Related topics

Related topics

15 relations
ApproximationBioinformaticsCluster analysisData mining

Broader (1)

Natural language processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Automatic Plagiarism Detection Using Word-Sentence Based S-gram
Plagiarism is an academic problem that is caught more and more each year. Common tricks that the cheaters normally use is… 
2009
2009
Classification of silhouettes using contour fragments
Highly Cited
2009
Highly Cited
2009
Imbalanced text classification: A term weighting approach
2009
2009
Video event classification using string kernels
Event recognition is a crucial task to provide high-level semantic description of the video content. The bag-of-words (BoW… 
Highly Cited
2007
Highly Cited
2007
Robust ASR using Support Vector Machines
2007
2007
The RNA String Kernel for siRNA Efficacy Prediction
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space… 
2007
2007
Masquerade Detection Using String Kernels
In the field of computer security, one of the most serious threats is masquerade attack, in which an attacker uses a legitimate… 
Highly Cited
2006
Highly Cited
2006
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple… 
Highly Cited
2006
Highly Cited
2006
Using String-Kernels for Learning Semantic Parsers
We present a new approach for mapping natural language sentences to their formal meaning representations using string-kernel… 
2002
2002
Syllables and other String Kernel Extensions
Recently, the use of string kernels that compare documents as a string of letters has been shown to achieve good results on text… 
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