We present an efficient probabilistic algorithm for testing approximate membership of words to regular languages modulo the edit distance. Our algorithm runs in polynomial time in the size of the input automaton and the inverse error precision in contrast to all previous approaches, and independently of the size of the input word. We also improve a previous approximate membership tester modulo the Hamming distance such that it runs in polynomial complexity time, but with larger polynomials than for the edit distance
By adding the complement operator (\neg), extended regular expressions ({\ERE}) can encode regular l...
We investigate property testing and related questions, where instead of the usual Hamming and edit d...
Let X* be any unknown word from a finite dictionary H. Let U be any arbitrary subsequence of X*. We ...
International audienceWe present a probabilistic algorithm for testing approximate membership of wor...
International audienceWe present a probabilistic algorithm for testing approximate membership of wor...
International audienceWe present a probabilistic algorithm for testing approximate membership of wor...
International audienceWe present a probabilistic algorithm for testing approximate membership of wor...
AbstractThe edit distance (or Levenshtein distance) between two words is the smallest number of subs...
The concept of edit distance and its variants has applications in many areas such as computational l...
The concept of edit distance and its variants has applications in many areas such as computational l...
AbstractThe edit distance (or Levenshtein distance) between two words is the smallest number of subs...
International audienceIn this work, we revisit the problem of testing membership in regular language...
International audienceIn this work, we revisit the problem of testing membership in regular language...
The notion of edit distance arises in very different fields such as self-correcting codes, parsing t...
AbstractThe notion of edit distance arises in very different fields such as self-correcting codes, p...
By adding the complement operator (\neg), extended regular expressions ({\ERE}) can encode regular l...
We investigate property testing and related questions, where instead of the usual Hamming and edit d...
Let X* be any unknown word from a finite dictionary H. Let U be any arbitrary subsequence of X*. We ...
International audienceWe present a probabilistic algorithm for testing approximate membership of wor...
International audienceWe present a probabilistic algorithm for testing approximate membership of wor...
International audienceWe present a probabilistic algorithm for testing approximate membership of wor...
International audienceWe present a probabilistic algorithm for testing approximate membership of wor...
AbstractThe edit distance (or Levenshtein distance) between two words is the smallest number of subs...
The concept of edit distance and its variants has applications in many areas such as computational l...
The concept of edit distance and its variants has applications in many areas such as computational l...
AbstractThe edit distance (or Levenshtein distance) between two words is the smallest number of subs...
International audienceIn this work, we revisit the problem of testing membership in regular language...
International audienceIn this work, we revisit the problem of testing membership in regular language...
The notion of edit distance arises in very different fields such as self-correcting codes, parsing t...
AbstractThe notion of edit distance arises in very different fields such as self-correcting codes, p...
By adding the complement operator (\neg), extended regular expressions ({\ERE}) can encode regular l...
We investigate property testing and related questions, where instead of the usual Hamming and edit d...
Let X* be any unknown word from a finite dictionary H. Let U be any arbitrary subsequence of X*. We ...