delo diplomskega seminarja
Urh Primožič (Author), Ljupčo Todorovski (Mentor), Matej Petković (Co-mentor)

Abstract

V delu definiramo verjetnostne kontekstno-neodvisne gramatike in opišemo njihovo uporabo v simbolni regresiji. Omejimo se na gramatike, ki tvorijo algebrajske izraze in natančno definiramo izraz. Motiviramo problem izračuna verjetnosti podanega izraza za podano gramatiko in dokažemo, da je v splošnem neodločljiv. Predstavimo nekaj posebnih primerov gramatik, ki generirajo izraze, za katere je problem algoritmično rešljiv. Podamo postopek za izračun verjetnosti podanega izraza za te posebne primere gramatik. Na koncu predstavimo verjetnostne gramatike, ki generirajo podmnožice grup.

Keywords

matematika;kontekstno-neodvisna gramatika;verjetnostna kontekstno-neodvisna gramatika;algebrajski izrazi;verjetnost;odločljivost;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FMF - Faculty of Mathematics and Physics
Publisher: [U. Primožič]
UDC: 004
COBISS: 120029699 Link will open in a new window
Views: 605
Downloads: 128
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Other data

Secondary language: English
Secondary title: P( (expression | grammar)
Secondary abstract: We define probability context-free grammars and describe their use for symbolic regression. We study grammars that generate algebraic expressions and meticulously define an expression. We show that calculating the probability of a given expression for a given grammar is generally undecidable. We overview specific grammars for generating expressions, where an algorithm for calculating the probability of a given expression exists. For those example grammars, we present an algorithm for calculating the probability of a given expression. At last, we present probabilistic grammars for generating elements from groups.
Secondary keywords: mathematics;context-free grammar;probabilistic context-free grammar;algebraic expressions;probability;deciability;
Type (COBISS): Final seminar paper
Study programme: 0
Thesis comment: Univ. v Ljubljani, Fak. za matematiko in fiziko, Oddelek za matematiko, Matematika - 1. stopnja
Pages: 22 str.
ID: 16336515
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