Abstract. This paper analyzes the expected performance of a simplied version BM 0 of the Boyer{Moore string matching algorithm. A probabilistic automaton A is set up which models the expected behavior of BM 0 under the assumption that both text and pattern are generated by a source which emits independent and uncorrelated symbols with an arbitrary distribution of probabilities. Formal developments lead then to the conclusion that A takes expected sublinear time in a variety of situations. The sublinear behavior can be quantitatively predicted by simple formulae involving the pattern length m and the alphabet's probabilistic properties. Finally, empirical evidence is provided which is in satisfactory accordance with the theory
Abstract. One of the simplest approaches to approximate string match-ing is to consider the associat...
Statistical modeling of sequences is a central paradigm of machine learning that finds multiple uses...
AbstractOne of the main reasons for the high efficiency of the fast pattern matching algorithm of Bo...
. This paper analyzes the expected performance of a simplified version BM 0 of the Boyer--Moore st...
The Boyer-Moore algorithm (BM) is a fast, compact algorithm for finding all occurrences of a pattern...
We propose a framework for the exact probabilistic analysis of window-based pattern matching algori...
The classical pattern matching paradigm is that of seeking occurrences of one string in another, whe...
AbstractThe string matching problem, i.e. the task of finding all occurrences of one string as a sub...
Algorithms with optimal expected running time are presented for searching the occurrences of a two-d...
In this paper, a natural probabilistic model for motif discovery has been used to experimentally tes...
Abstract. We present a new algorithm for on-line approximate string matching. The algorithm is based...
AbstractGiven a text T over alphabet Σ and a complete index for T constructed using the finite autom...
We study in depth a model of non-exact pattern matching based on edit distance, which is the minimum...
AbstractA few lines pattern matching algorithm is obtained by using the correctness proof of program...
Ricardo Baeza-Yates Gonzalo Navarro Department of Computer Science University of Chile Blanco Encala...
Abstract. One of the simplest approaches to approximate string match-ing is to consider the associat...
Statistical modeling of sequences is a central paradigm of machine learning that finds multiple uses...
AbstractOne of the main reasons for the high efficiency of the fast pattern matching algorithm of Bo...
. This paper analyzes the expected performance of a simplified version BM 0 of the Boyer--Moore st...
The Boyer-Moore algorithm (BM) is a fast, compact algorithm for finding all occurrences of a pattern...
We propose a framework for the exact probabilistic analysis of window-based pattern matching algori...
The classical pattern matching paradigm is that of seeking occurrences of one string in another, whe...
AbstractThe string matching problem, i.e. the task of finding all occurrences of one string as a sub...
Algorithms with optimal expected running time are presented for searching the occurrences of a two-d...
In this paper, a natural probabilistic model for motif discovery has been used to experimentally tes...
Abstract. We present a new algorithm for on-line approximate string matching. The algorithm is based...
AbstractGiven a text T over alphabet Σ and a complete index for T constructed using the finite autom...
We study in depth a model of non-exact pattern matching based on edit distance, which is the minimum...
AbstractA few lines pattern matching algorithm is obtained by using the correctness proof of program...
Ricardo Baeza-Yates Gonzalo Navarro Department of Computer Science University of Chile Blanco Encala...
Abstract. One of the simplest approaches to approximate string match-ing is to consider the associat...
Statistical modeling of sequences is a central paradigm of machine learning that finds multiple uses...
AbstractOne of the main reasons for the high efficiency of the fast pattern matching algorithm of Bo...