| Autori | Název publikace | 
                            
                                                | F. Otto, P. Černo, F. Mráz | On the Classes of Languages Accepted by Limited Context Restarting Automata | 
                                
                                                | RAIRO - Theoretical Informatics and Applications, 2014, Vol. eFirst, 1–24. ISSN 1290-385X | 
                                
                                                | Abstrakt: In the literature various types of restarting automata have been studied that 
        are based on contextual rewriting. A word w is accepted by such an automaton if, starting 
        from the initial configuration that corresponds to input w, the word w is reduced to 
        the empty word by a finite number of applications of these contextual rewritings. 
        This approach is reminiscent of the notion of McNaughton families of languages. 
        Here we put the aforementioned types of restarting automata into the context of 
        McNaughton families of languages, relating the classes of languages accepted by 
        these automata in particular to the class GCSL of growing context-sensitive languages 
        and to the class CRL of Church–Rosser languages. | 
                                
                                                | Odkazy: BibTeX, DOI | 
                                
                                                | P. Černo | Grammatical Inference of Lambda Confluent Context Rewriting Systems | 
                                
                                                | In Suna Bench, Frank Drewes, Rudolf Freund, Friedrich Otto, editors, Workshop on Non-Classical Models of Automata and Applications (NCMA), books@ocg.at, pages 85-100. Österreichisches Computer Gesellschaft, 2013. | 
                                
                                                | Abstrakt: We introduce a general learning algorithm for inferring various restricted types 
        of context rewriting systems, which are defined as string-rewriting systems extended by contexts. 
        We show that, under certain conditions, it is possible to identify in the limit any target context 
        rewriting system with minimal width of instructions from the set of positive and negative samples. 
        In addition, we show that the learning algorithm works in polynomial time with respect to the size 
        of the set of positive and negative samples when used on lambda-confluent context rewriting systems. | 
                                
                                                | Odkazy: BibTeX, NCMA 2013, Presentation | 
                                
                                                | P. Černo | Clearing Restarting Automata and Grammatical Inference | 
                                
                                                | Proceedings of the Eleventh International Conference on Grammatical Inference (ICGI 2012), September 5-8, 2012, University of Maryland, College Park, United States, JMLR, Vol. 21, 54-68. | 
                                
                                                | Abstrakt: Clearing and subword-clearing restarting automata are linguistically motivated 
        models of automata. We investigate the problem of grammatical inference for such
        automata based on the given set of positive and negative samples.
        We show that it is possible to identify these models in the limit. In this 
        way we can learn a large class of languages. On the other hand, we prove that 
        the task of finding a clearing restarting automaton consistent with a 
        given set of positive and negative samples is NP-hard, provided that we
        impose an upper bound on the width of its instructions. | 
                                
                                                | Odkazy: BibTeX, JMLR Proceedings, Fulltext, Presentation | 
                                
                                                | P. Černo | Clearing Restarting Automata and Grammatical Inference (Technical Report) | 
                                
                                                | Technical report, 1/2012, Charles University, Faculty of Mathematics and Physics, Prague. | 
                                
                                                | Odkazy: BibTeX, Fulltext | 
                                
                                                | F. Otto, P. Černo, F. Mráz | Limited Context Restarting Automata and McNaughton Families of Languages | 
                                
                                                | In Rudolf Freund, Markus Holzer, Bianca Truthe, and Ulrich Ultes-Nitsche, editors, Workshop on Non-Classical Models of Automata and Applications (NCMA), books@ocg.at, pages 165-180. Österreichisches Computer Gesellschaft, 2012. | 
                                
                                                | Abstrakt: In the literature various types of restarting automata have been studied
        that are based on contextual rewriting.
        A word w is accepted by such an automaton if, starting from the initial
        configuration that corresponds to input w,
        the word w is reduced to the empty word within a finite number
        of applications of these contextual rewritings.
        This approach is reminiscent of the notion of McNaughton families of languages.
        Here we put the aforementioned types of restarting automata into the
        context of McNaughton families of languages,
        relating the classes of languages accepted by these automata
        in particular to the class GCSL of growing context-sensitive languages
        and to the class CRL of Church-Rosser languages. | 
                                
                                                | Odkazy: BibTeX, NCMA 2012, Presentation | 
                                
                                                | P. Černo | Learning Automata and Grammars | 
                                
                                                | Week of Doctoral Students 2011 - Proceedings of Contributed Papers: Part I – Mathematics and Computer Science (eds. J. Safrankova and J. Pavlu), Prague, Matfyzpress, pp. 125–131, 2011. ISBN 978-80-7378-184-2. | 
                                
                                                | Abstrakt: The problem of learning or inferring automata and grammars has
        been studied for decades and has connections to many disciplines,
        including bio-informatics, computational linguistics and
        pattern recognition. In this paper we present a short survey of 
        basic models and techniques related to the grammatical inference
        and try to outline some new promising approaches which we expect 
        to bring new light into this subject.
        For illustration, we introduce delimited string-rewriting systems as 
        a sample model for grammatical inference and sketch the simplified
        version of the learning algorithm LARS for these systems. | 
                                
                                                | Odkazy: BibTeX, Fulltext, Presentation | 
                                
                                                | P. Černo, F. Mráz | Delta-Clearing Restarting Automata and CFL | 
                                
                                                | Proceedings of the 15th International Conference on Developments in Language Theory (DLT 2011) (Milano, Italy), Springer, Berlin, 2011, LNCS, Vol. 6795, 153-164. | 
                                
                                                | Abstrakt: Delta-clearing restarting automata represent a new restricted model of restarting automata which, 
        based on a limited context, can either delete a substring of the current content of its tape or 
        replace a substring by a special auxiliary symbol Delta, which cannot be overwritten anymore, 
        but it can be deleted later. The main result of this paper consists in proving that besides 
        their limited operations, Delta-clearing restarting automata recognize all context-free languages. | 
                                
                                                | Odkazy: BibTeX, SpringerLink, Presentation | 
                                
                                                | P. Černo, F. Mráz | Delta-Clearing Restarting Automata and CFL (Technical Report) | 
                                
                                                | Technical report, 8/2011, Charles University, Faculty of Mathematics and Physics, Prague. | 
                                
                                                | Odkazy: BibTeX, Fulltext | 
                                
                                                | P. Černo, F. Mráz | Clearing Restarting Automata | 
                                
                                                | Fundamenta Informaticae, 2010, Vol. 104, No. 1, 17-54, DOI 10.3233/FI-2010-334. | 
                                
                                                | Abstrakt: Restarting automata were introduced as a model for analysis by reduction, which is 
        a linguistically motivated method for checking correctness of a sentence. We propose a new restricted 
        version of restarting automata called clearing restarting automata with a very simple definition 
        but simultaneously with interesting properties with respect to their possible applications. The new model 
        can be learned very efficiently from positive examples and its stronger version can be used to learn 
        effectively a large class of languages. We relate the class of languages recognized by clearing 
        restarting automata to the Chomsky hierarchy. | 
                                
                                                | Odkazy: BibTeX, Fundamenta Informaticae |