Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

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… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
The most common approach in text mining classification tasks is to rely on features like words, part-of-speech tags, stems, or… Expand
Is this relevant?
Highly Cited
2009
Highly Cited
2009
The natural distribution of textual data used in text classification is often imbalanced. Categories with fewer examples are… Expand
  • table 1
  • table 3
  • table 2
  • figure 2
  • table 4
Is this relevant?
2007
2007
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space… Expand
  • figure 1
  • table II
  • table I
  • figure 2
  • table IV
Is this relevant?
Highly Cited
2007
Highly Cited
2007
The improved theoretical properties of Support Vector Machines with respect to other machine learning alternatives due to their… Expand
  • table 1
  • table 2
  • table 3
  • table 4
  • figure 1
Is this relevant?
2007
2007
In the field of computer security, one of the most serious threats is masquerade attack, in which an attacker uses a legitimate… Expand
  • figure 3
  • figure 1
  • figure 2
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2006
Highly Cited
2006
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2006
Highly Cited
2006
We present a new approach for mapping natural language sentences to their formal meaning representations using string-kernel… Expand
  • figure 2
  • figure 3
  • figure 4
  • figure 5
  • figure 6
Is this relevant?
Highly Cited
2005
Highly Cited
2005
We develop the notion of normalized information distance (NID) [7] into a kernel distance suitable for use with a Support Vector… Expand
  • figure 1
  • table 1
  • table 2
  • table 3
  • figure 2
Is this relevant?
2003
2003
We present semantic sequence kernel (SSK) to detect document plagiarism, which is derived from string kernel (SK) and word… Expand
  • figure 1
  • figure 2
  • figure 4
  • figure 3
Is this relevant?
2002
2002
Recently, the use of string kernels that compare documents as a string of letters has been shown to achieve good results on text… Expand
  • table 1
  • table 2
  • table 3
  • table 4
  • table 6
Is this relevant?