000 03577nam a22005895i 4500
001 978-3-319-46801-3
003 DE-He213
005 20220801222224.0
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020 _a9783319468013
_9978-3-319-46801-3
024 7 _a10.1007/978-3-319-46801-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aWieczorek, Wojciech.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_960356
245 1 0 _aGrammatical Inference
_h[electronic resource] :
_bAlgorithms, Routines and Applications /
_cby Wojciech Wieczorek.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXI, 145 p. 18 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v673
505 0 _aIntroduction -- State Merging Algorithms -- Partition-Based Algorithms -- Substring-Based Algorithms -- Identification Using Mathematical Modeling -- A Decomposition-Based Algorithm -- An Algorithm Based on a Directed Acyclic Word Graph -- Applications of GI Methods in Selected Fields -- A. A Quick Introduction to Python -- B. Python’s Tools for Automata, Networks, Genetic Algorithms, and SAT Solving -- C. OML and its Usage in IronPython -- References.
520 _aThis book focuses on grammatical inference, presenting classic and modern methods of grammatical inference from the perspective of practitioners. To do so, it employs the Python programming language to present all of the methods discussed. Grammatical inference is a field that lies at the intersection of multiple disciplines, with contributions from computational linguistics, pattern recognition, machine learning, computational biology, formal learning theory and many others. Though the book is largely practical, it also includes elements of learning theory, combinatorics on words, the theory of automata and formal languages, plus references to real-world problems. The listings presented here can be directly copied and pasted into other programs, thus making the book a valuable source of ready recipes for students, academic researchers, and programmers alike, as well as an inspiration for their further development.>.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aLinguistics.
_938335
650 0 _aNatural language processing (Computer science).
_94741
650 0 _aPattern recognition systems.
_93953
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aTheoretical Linguistics / Grammar.
_938336
650 2 4 _aNatural Language Processing (NLP).
_931587
650 2 4 _aAutomated Pattern Recognition.
_931568
710 2 _aSpringerLink (Online service)
_960357
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319468006
776 0 8 _iPrinted edition:
_z9783319468020
776 0 8 _iPrinted edition:
_z9783319835891
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v673
_960358
856 4 0 _uhttps://doi.org/10.1007/978-3-319-46801-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80530
_d80530