{"title":"候选格中与布尔代数同构的大子格的存在性","authors":"D. Vinogradov","doi":"10.3103/S0005105523020097","DOIUrl":null,"url":null,"abstract":"<p>Algebraic machine learning has emerged as a way to overcome the need to generate a (potentially exponential) lattice of all candidates (as, for example, in the case of Boolean algebra). In this paper, it is proven that for a random training sample generated by the Bernoulli sequence, the probability that a large sublattice will arise in the lattice of candidates isomorphic to Boolean algebra will tend to unity as the sample size increases.</p>","PeriodicalId":42995,"journal":{"name":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Existence of Large Sublattices Isomorphic to Boolean Algebra in a Candidate Lattice\",\"authors\":\"D. Vinogradov\",\"doi\":\"10.3103/S0005105523020097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Algebraic machine learning has emerged as a way to overcome the need to generate a (potentially exponential) lattice of all candidates (as, for example, in the case of Boolean algebra). In this paper, it is proven that for a random training sample generated by the Bernoulli sequence, the probability that a large sublattice will arise in the lattice of candidates isomorphic to Boolean algebra will tend to unity as the sample size increases.</p>\",\"PeriodicalId\":42995,\"journal\":{\"name\":\"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.3103/S0005105523020097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0005105523020097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Existence of Large Sublattices Isomorphic to Boolean Algebra in a Candidate Lattice
Algebraic machine learning has emerged as a way to overcome the need to generate a (potentially exponential) lattice of all candidates (as, for example, in the case of Boolean algebra). In this paper, it is proven that for a random training sample generated by the Bernoulli sequence, the probability that a large sublattice will arise in the lattice of candidates isomorphic to Boolean algebra will tend to unity as the sample size increases.
期刊介绍:
Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.