English
Related papers

Related papers: Binary words avoiding a pattern and marked success…

200 papers

An $n$-length binary word is $q$-decreasing, $q\geq 1$, if every of its length maximal factor of the form $0^a1^b$ satisfies $a=0$ or $q\cdot a > b$.We show constructively that these words are in bijection with binary words having no…

Discrete Mathematics · Computer Science 2021-12-08 Jean-Luc Baril , Sergey Kirgizov , Vincent Vajnovszki

In [2], while studying a relevant class of polyominoes that tile the plane by translation, i.e., double square polyominoes, the authors found that their boundary words, encoded by the Freeman chain coding on a four letters alphabet, have…

Combinatorics · Mathematics 2023-05-09 Michela Ascolese , Andrea Frosini

This work proposes a novel adaptation of a pretrained sequence-to-sequence model to the task of document ranking. Our approach is fundamentally different from a commonly-adopted classification-based formulation of ranking, based on…

Information Retrieval · Computer Science 2020-03-17 Rodrigo Nogueira , Zhiying Jiang , Jimmy Lin

A pattern class is a set of permutations closed under the formation of subpermutations. Such classes can be characterised as those permutations not involving a particular set of forbidden permutations. A simple collection of necessary and…

Combinatorics · Mathematics 2007-05-23 M. H. Albert , M. D. Atkinson , Robert Brignall

Chinese word segmentation is a fundamental task for Chinese language processing. The granularity mismatch problem is the main cause of the errors. This paper showed that the binary tree representation can store outputs with different…

Computation and Language · Computer Science 2013-05-20 Kaixu Zhang , Can Wang , Maosong Sun

In this work, we leverage the linear algebraic structure of distributed word representations to automatically extend knowledge bases and allow a machine to learn new facts about the world. Our goal is to extract structured facts from…

Computation and Language · Computer Science 2015-11-24 Lisa Seung-Yeon Lee

String matching is one of the most fundamental problems in computer science. A natural problem is to determine the number of characters that need to be queried (i.e. the decision tree complexity) in a string in order to decide whether this…

Computational Complexity · Computer Science 2018-06-29 Xiaoyu He , Neng Huang , Xiaoming Sun

We consider the avoidance of patterns in inversion sequences that relate sorting via sorting machines including data structures such as pop stacks and stacks. Such machines have been studied under a variety of additional constraints and…

Combinatorics · Mathematics 2025-02-12 Toufik Mansour , Howard Skogman , Rebecca Smith

We study positional statistics for four families of pattern-avoiding permutations counted by the large Schr\"oder numbers. Specifically, we focus on the pairs of patterns {2413,3142} (separable permutations), {1324,1423}, {1423,2413}, and…

Combinatorics · Mathematics 2026-03-27 Juan B. Gil , Oscar A. Lopez , Michael D. Weiner

Recently, Grytczuk, Kordulewski, and Niewiadomski defined an extremal word over an alphabet $\mathbb{A}$ to be a word with the property that inserting any letter from $\mathbb{A}$ at any position in the word yields a given pattern. In this…

Combinatorics · Mathematics 2020-09-23 Natalya Ter-Saakov , Emily Zhang

Given a pattern $P$ and a text $T$, both strings over a binary alphabet, the binary jumbled string matching problem consists in telling whether any permutation of $P$ occurs in $T$. The indexed version of this problem, i.e., preprocessing a…

Data Structures and Algorithms · Computer Science 2013-05-09 Emanuele Giaquinta , Szymon Grabowski

We consider the following novel variation on a classical avoidance problem from combinatorics on words: instead of avoiding repetitions in all factors of a word, we avoid repetitions in all factors where each individual factor is considered…

Formal Languages and Automata Theory · Computer Science 2013-03-19 Hamoon Mousavi , Jeffrey Shallit

There is inherent information captured in the order in which we write words in a list. The orderings of binomials --- lists of two words separated by `and' or `or' --- has been studied for more than a century. These binomials are common…

Social and Information Networks · Computer Science 2020-03-10 Katherine Van Koevering , Austin R. Benson , Jon Kleinberg

Recently, Yan and the first named author investigated systematically the enumeration of inversion or ascent sequences avoiding vincular patterns of length $3$, where two of the three letters are required to be adjacent. They established…

Combinatorics · Mathematics 2020-03-30 Zhicong Lin , Shishuo Fu

Ascent sequences of length $n$ avoiding the pattern $021$ are enumerated by the $n$-th Catalan number $C_n=\frac{1}{n+1}\binom{2n}{n}$. In this paper, we extend this result and enumerate ascent sequences avoiding $\{021,\tau\}$, where…

Combinatorics · Mathematics 2025-07-25 Toufik Mansour , Mark Shattuck

In this work of thesis we introduce and study a new family of sorting devices, which we call pattern-avoiding machines. They consist of two stacks in series, equipped with a greedy procedure. On both stacks we impose a static constraint in…

Combinatorics · Mathematics 2022-10-10 Giulio Cerbai

The pattern avoidance problem seeks to construct a set with large fractal dimension that avoids a prescribed pattern, such as three term arithmetic progressions, or more general patterns, such as finding a set whose Cartesian product avoids…

Classical Analysis and ODEs · Mathematics 2019-12-03 Jacob Denson

Let $N(n,r,k)$ denote the number of binary words of length $n$ that begin with $0$ and contain exactly $k$ runs (i.e., maximal subwords of identical consecutive symbols) of length $r$. We show that the generating function for the sequence…

Combinatorics · Mathematics 2017-07-17 James J. Madden

The major challenge in designing a discriminative learning algorithm for predicting structured data is to address the computational issues arising from the exponential size of the output space. Existing algorithms make different assumptions…

Machine Learning · Computer Science 2010-06-29 Shankar Vembu

We propose an unsupervised neural model for learning a discrete embedding of words. Unlike existing discrete embeddings, our binary embedding supports vector arithmetic operations similar to continuous embeddings. Our embedding represents…

Computation and Language · Computer Science 2020-10-16 Masataro Asai , Zilu Tang