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We consider the problem of computing the measure of a regular language of infinite binary trees. While the general case remains unsolved, we show that the measure of a language defined by a first-order formula with no descendant relation or…

Logic in Computer Science · Computer Science 2018-09-11 Marcin Przybyłko

Tree ensembles (TEs) find a multitude of practical applications. They represent one of the most general and accurate classes of machine learning methods. While they are typically quite concise in representation, their operation remains…

Artificial Intelligence · Computer Science 2026-04-01 Yacine Izza , Alexey Ignatiev , Xuanxiang Huang , Peter J. Stuckey , Joao Marques-Silva

Tree ensembles, such as random forests and boosted trees, are renowned for their high prediction performance. However, their interpretability is critically limited due to the enormous complexity. In this study, we present a method to make a…

Machine Learning · Statistics 2017-03-01 Satoshi Hara , Kohei Hayashi

We investigate the complexity of the separation problem associated to classes of regular languages. For a class C, C-separation takes two regular languages as input and asks whether there exists a third language in C which includes the…

Formal Languages and Automata Theory · Computer Science 2018-10-23 Thomas Place , Marc Zeitoun

We consider finite trees with edges labeled by letters on a finite alphabet $\varSigma$. Each pair of nodes defines a unique labeled path whose trace is a word of the free monoid $\varSigma^*$. The set of all such words defines the language…

Combinatorics · Mathematics 2015-05-12 Srečko Brlek , Nadia Lafrenière , Xavier Provençal

Recognizing handwritten mathematics is a challenging classification problem, requiring simultaneous identification of all the symbols comprising an input as well as the complex two-dimensional relationships between symbols and…

Artificial Intelligence · Computer Science 2014-09-19 Scott MacLean , George Labahn

Some decidable winning conditions of arbitrarily high finite Borel complexity for games on finite graphs or on pushdown graphs have been recently presented by O. Serre in [ Games with Winning Conditions of High Borel Complexity, in the…

Logic in Computer Science · Computer Science 2008-12-18 Olivier Finkel

We consider symbolic tree automata (sta) and symbolic tree transducers (stt). We characterize s-recognizable tree languages (which are the tree languages recognizable by sta) in terms of (classical) recognizable tree languages and…

Formal Languages and Automata Theory · Computer Science 2012-08-28 Zoltán Fülöp , Heiko Vogler

We study counting-regular languages -- these are languages $L$ for which there is a regular language $L'$ such that the number of strings of length $n$ in $L$ and $L'$ are the same for all $n$. We show that the languages accepted by…

Formal Languages and Automata Theory · Computer Science 2019-03-11 Oscar H. Ibarra , Ian McQuillan , Bala Ravikumar

This paper presents Tree Notation, a new simple, universal syntax. Language designers can invent new programming languages, called Tree Languages, on top of Tree Notation. Tree Languages have a number of advantages over traditional…

Programming Languages · Computer Science 2017-10-25 Breck Yunits

We study tree games developed recently by Matteo Mio as a game interpretation of the probabilistic $\mu$-calculus. With expressive power comes complexity. Mio showed that tree games are able to encode Blackwell games and, consequently, are…

Logic in Computer Science · Computer Science 2014-08-28 Marcin Przybyłko

For some fixed alphabet A, a language L of A* is in the class L(1/2) of the Straubing-Therien hierarchy if and only if it can be expressed as a finite union of languages A*aA*bA*...A*cA*, where a,b,...,c are letters. The class L(1) is…

Computational Complexity · Computer Science 2016-01-18 Heinz Schmitz , Klaus W. Wagner

We study the links between the topological complexity of an omega context free language and its degree of ambiguity. In particular, using known facts from classical descriptive set theory, we prove that non Borel omega context free…

Logic in Computer Science · Computer Science 2008-01-04 Olivier Finkel , Pierre Simonnet

Tree-controlled grammars are context-free grammars where the derivation process is controlled in such a way that every word on a level of the derivation tree must belong to a certain control language. We investigate the generative capacity…

Computational Complexity · Computer Science 2023-09-07 Bianca Truthe

Finite automata whose computations can be reversed, at any point, by knowing the last k symbols read from the input, for a fixed k, are considered. These devices and their accepted languages are called k-reversible automata and k-reversible…

Formal Languages and Automata Theory · Computer Science 2017-08-23 Giovanna J. Lavado , Giovanni Pighizzini , Luca Prigioniero

We consider the problem of computing the measure of a regular set of infinite binary trees. While the general case remains unsolved, we show that the measure of a language can be computed when the set is given in one of the following three…

Formal Languages and Automata Theory · Computer Science 2020-02-03 Marcin Przybyłko , Michał Skrzypczak

In the context of structure-to-structure transformation tasks, learning sequences of discrete symbolic operations poses significant challenges due to their non-differentiability. To facilitate the learning of these symbolic sequences, we…

Computation and Language · Computer Science 2023-06-02 Paul Soulos , Edward Hu , Kate McCurdy , Yunmo Chen , Roland Fernandez , Paul Smolensky , Jianfeng Gao

In this paper, we extend the notion of tree language quotients to bottom-up quotients. Instead of computing the residual of a tree language from top to bottom and producing a list of tree languages, we show how to compute a set of k-ary…

Formal Languages and Automata Theory · Computer Science 2015-06-10 Jean-Marc Champarnaud , Ludovic Mignot , Nadia Ouali-Sebti , Djelloul Ziadi

Tree ensembles, such as random forest and boosted trees, are renowned for their high prediction performance, whereas their interpretability is critically limited. In this paper, we propose a post processing method that improves the model…

Machine Learning · Statistics 2016-06-20 Satoshi Hara , Kohei Hayashi

When trained on language data, do transformers learn some arbitrary computation that utilizes the full capacity of the architecture or do they learn a simpler, tree-like computation, hypothesized to underlie compositional meaning systems…

Computation and Language · Computer Science 2022-11-07 Shikhar Murty , Pratyusha Sharma , Jacob Andreas , Christopher D. Manning
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