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Machine learning: ECML-93 : European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993 : proceedings

Author: Pavel B Brazdil
Publisher: Berlin ; London : Springer-Verlag, ©1993.
Series: Lecture notes in computer science., Lecture notes in artificial intelligence ;, 667.
Edition/Format:   Print book : Conference publication : EnglishView all editions and formats
Summary:

This volume contains the proceedings of the EurpoeanConference on Machine Learning (ECML-93), continuing thetradition of the five earlier EWSLs (European WorkingSessions on Learning). The  Read more...

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Genre/Form: Conference papers and proceedings
Kongreß
Congresses
Additional Physical Format: Online version:
European Conference on Machine Learning (1993 : Vienna, Austria)
Machine learning: ECML-93.
Berlin ; London : Springer-Verlag, ©1993
(OCoLC)1084295568
Material Type: Conference publication, Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Pavel B Brazdil
ISBN: 0387566023 9780387566023 3540566023 9783540566021
OCLC Number: 264982473
Description: xii, 469 pages ; 25 cm.
Contents: FOIL: A Midterm Report / J. R. Quinlan and R. M. Cameron-Jones --
Inductive Logic Programming: Derivations, Successes and Shortcomings / S. Muggleton --
Inductive Logic Programming --
Two Methods for Improving Inductive Logic Programming Systems / I. Stahl, T. B. Tausend and R. Wirth --
Generalization under Implication by Using Or-Introduction / P. Idestam-Almquist --
On the Proper Definition of Minimality in Specialization and Theory Revision / S. Wrobel --
Predicate Invention in Inductive Data Engineering / P. A. Flach --
Subsumption and Refinement in Model Inference / P. R. J. van der Laag and S.-H. Nienhuys-Cheng --
Some Lower Bounds for the Computational Complexity of Inductive Logic Programming / J.-U. Kietz --
Improving Example-Guided Unfolding / H. Bostrom --
Probabilistic Approaches to Learning --
Bayes and Pseudo-Bayes Estimates of Conditional Probabilities and Their Reliability / J. Cussens --
Induction of Recursive Bayesian Classifiers / P. Langley --
Inductive Learning --
Decision Tree Pruning as a Search in the State Space / F. Esposito, D. Malerba and G. Semeraro --
Controlled Redundancy in Incremental Rule Learning / L. Torgo --
Getting Order Independence in Incremental Learning / A. Cornuejols --
Feature Selection Using Rough Sets Theory / M. Modrzejewski --
Learning in Dynamic Environments --
Effective Learning in Dynamic Environments by Explicit Context Tracking / G. Widmer and M. Kubat --
COBBIT --
A Control Procedure for COBWEB in the Presence of Concept Drift / F. Kilander and C. G. Jansson --
Genetic Algorithms --
Genetic Algorithms for Protein Tertiary Structure Prediction / S. Schulze-Kremer --
SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts / G. Venturini --
SAMIA: A Bottom-up Learning Method Using a Simulated Annealing Algorithm / P. Brezellec and H. Soldano --
Inductive Logic Programming --
Predicate Invention in ILP --
an Overview / I. Stahl --
Functional Inductive Logic Programming with Queries to the User / F. Bergadano and D. Gunetti --
A Note on Refinement Operators / T. Niblett --
An Iterative and Bottom-up Procedure for Proving-by-Example / M. Hagiya --
Learnability --
Learnability of Constrained Logic Programs / S. Dzeroski, S. Muggleton and S. Russell --
Complexity Dimensions and Learnability / S.-H. Nienhuys-Cheng and M. Polman --
Can Complexity Theory Benefit from Learning Theory? / T. Hegedus --
Learning from Time Dependent Data --
Learning Domain Theories Using Abstract Background Knowledge / P. Clark and S. Matwin --
Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods / M. Kubat, D. Flotzinger and G. Pfurtscheller --
Learning to Control Dynamic Systems with Automatic Quantization / C. X. Ling and R. Buchal --
Inductive Learning and Applications --
Refinement of Rule Sets with JoJo / D. Fensel and M. Wiese --
Rule Combination in Inductive Learning / L. Torgo --
Using Heuristics to Speed up Induction on Continuous-Valued Attributes / G. Seidelmann --
Integrating Models of Knowledge and Machine Learning / J.-G. Ganascia, J. Thomas and P. Laublet --
Exploiting Context when Learning to Classify / P. D. Turney --
IDDD: An Inductive, Domain Dependent Decision Algorithm / L. Gaga, V. Moustakis, G. Charissis and S. Orphanoudakis --
An Application of Machine Learning in the Domain of Loan Analysis / J. Ferreira, J. Correia, T. Jamet and E. Costa --
Neural Network Learning --
Extraction of Knowledge from Data using Constrained Neural Networks / R. Kane, I. Tchoumatchenko and M. Milgram --
Integrated Learning Architectures / E. Plaza, A. Aamodt, A. Ram, W. van de Velde and M. van Someren --
An Overview of Evolutionary Computation / W. M. Spears, K. A. De Jong, T. Back, D. B. Fogel and H. de Garis --
ML Techniques and Text Analysis / P. Adriaans.
Series Title: Lecture notes in computer science., Lecture notes in artificial intelligence ;, 667.
Responsibility: Pavel B. Brazdil, ed.

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\n\n

Primary Entity<\/h3>\n
<http:\/\/www.worldcat.org\/oclc\/264982473<\/a>> # Machine learning: ECML-93 : European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993 : proceedings<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:CreativeWork<\/a>, schema:Book<\/a> ;\u00A0\u00A0\u00A0\nlibrary:oclcnum<\/a> \"264982473<\/span>\" ;\u00A0\u00A0\u00A0\nlibrary:placeOfPublication<\/a> <http:\/\/id.loc.gov\/vocabulary\/countries\/gw<\/a>> ;\u00A0\u00A0\u00A0\nlibrary:placeOfPublication<\/a> <http:\/\/dbpedia.org\/resource\/London<\/a>> ; # London<\/span>\n\u00A0\u00A0\u00A0\nlibrary:placeOfPublication<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Place\/berlin<\/a>> ; # Berlin<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Topic\/maschinelles_lernen<\/a>> ; # Maschinelles Lernen<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Topic\/learning_psychology_of<\/a>> ; # Learning, Psychology of<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Place\/wien_1992<\/a>> ; # Wien <1992><\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/id.worldcat.org\/fast\/1004795<\/a>> ; # Machine learning<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Topic\/machine_learning<\/a>> ; # Machine learning<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/id.worldcat.org\/fast\/970736<\/a>> ; # Induction (Logic)<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/id.worldcat.org\/fast\/995009<\/a>> ; # Learning, Psychology of<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/dewey.info\/class\/006.31\/<\/a>> ;\u00A0\u00A0\u00A0\nschema:bookFormat<\/a> bgn:PrintBook<\/a> ;\u00A0\u00A0\u00A0\nschema:contributor<\/a> <http:\/\/viaf.org\/viaf\/69605839<\/a>> ; # Pavel B. Brazdil<\/span>\n\u00A0\u00A0\u00A0\nschema:copyrightYear<\/a> \"1993<\/span>\" ;\u00A0\u00A0\u00A0\nschema:creator<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Meeting\/european_conference_on_machine_learning_1993_vienna_austria<\/a>> ; # European Conference on Machine Learning (1993 : Vienna, Austria)<\/span>\n\u00A0\u00A0\u00A0\nschema:datePublished<\/a> \"1993<\/span>\" ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"FOIL: A Midterm Report \/ J. R. Quinlan and R. M. Cameron-Jones -- Inductive Logic Programming: Derivations, Successes and Shortcomings \/ S. Muggleton -- Inductive Logic Programming -- Two Methods for Improving Inductive Logic Programming Systems \/ I. Stahl, T. B. Tausend and R. Wirth -- Generalization under Implication by Using Or-Introduction \/ P. Idestam-Almquist -- On the Proper Definition of Minimality in Specialization and Theory Revision \/ S. Wrobel -- Predicate Invention in Inductive Data Engineering \/ P. A. Flach -- Subsumption and Refinement in Model Inference \/ P. R. J. van der Laag and S.-H. Nienhuys-Cheng -- Some Lower Bounds for the Computational Complexity of Inductive Logic Programming \/ J.-U. Kietz -- Improving Example-Guided Unfolding \/ H. Bostrom -- Probabilistic Approaches to Learning -- Bayes and Pseudo-Bayes Estimates of Conditional Probabilities and Their Reliability \/ J. Cussens -- Induction of Recursive Bayesian Classifiers \/ P. Langley -- Inductive Learning -- Decision Tree Pruning as a Search in the State Space \/ F. Esposito, D. Malerba and G. Semeraro -- Controlled Redundancy in Incremental Rule Learning \/ L. Torgo -- Getting Order Independence in Incremental Learning \/ A. Cornuejols -- Feature Selection Using Rough Sets Theory \/ M. Modrzejewski -- Learning in Dynamic Environments -- Effective Learning in Dynamic Environments by Explicit Context Tracking \/ G. Widmer and M. Kubat -- COBBIT -- A Control Procedure for COBWEB in the Presence of Concept Drift \/ F. Kilander and C. G. Jansson -- Genetic Algorithms -- Genetic Algorithms for Protein Tertiary Structure Prediction \/ S. Schulze-Kremer -- SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts \/ G. Venturini -- SAMIA: A Bottom-up Learning Method Using a Simulated Annealing Algorithm \/ P. Brezellec and H. Soldano -- Inductive Logic Programming -- Predicate Invention in ILP -- an Overview \/ I. Stahl -- Functional Inductive Logic Programming with Queries to the User \/ F. Bergadano and D. Gunetti -- A Note on Refinement Operators \/ T. Niblett -- An Iterative and Bottom-up Procedure for Proving-by-Example \/ M. Hagiya -- Learnability -- Learnability of Constrained Logic Programs \/ S. Dzeroski, S. Muggleton and S. Russell -- Complexity Dimensions and Learnability \/ S.-H. Nienhuys-Cheng and M. Polman -- Can Complexity Theory Benefit from Learning Theory? \/ T. Hegedus -- Learning from Time Dependent Data -- Learning Domain Theories Using Abstract Background Knowledge \/ P. Clark and S. Matwin -- Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods \/ M. Kubat, D. Flotzinger and G. Pfurtscheller -- Learning to Control Dynamic Systems with Automatic Quantization \/ C. X. Ling and R. Buchal -- Inductive Learning and Applications -- Refinement of Rule Sets with JoJo \/ D. Fensel and M. Wiese -- Rule Combination in Inductive Learning \/ L. Torgo -- Using Heuristics to Speed up Induction on Continuous-Valued Attributes \/ G. Seidelmann -- Integrating Models of Knowledge and Machine Learning \/ J.-G. Ganascia, J. Thomas and P. Laublet -- Exploiting Context when Learning to Classify \/ P. D. Turney -- IDDD: An Inductive, Domain Dependent Decision Algorithm \/ L. Gaga, V. Moustakis, G. Charissis and S. Orphanoudakis -- An Application of Machine Learning in the Domain of Loan Analysis \/ J. Ferreira, J. Correia, T. Jamet and E. Costa -- Neural Network Learning -- Extraction of Knowledge from Data using Constrained Neural Networks \/ R. Kane, I. Tchoumatchenko and M. Milgram -- Integrated Learning Architectures \/ E. Plaza, A. Aamodt, A. Ram, W. van de Velde and M. van Someren -- An Overview of Evolutionary Computation \/ W. M. Spears, K. A. De Jong, T. Back, D. B. Fogel and H. de Garis -- ML Techniques and Text Analysis \/ P. 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Lecture notes in artificial intelligence ;<\/span>\n\u00A0\u00A0\u00A0\nschema:isSimilarTo<\/a> <http:\/\/www.worldcat.org\/oclc\/1084295568<\/a>> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Machine learning: ECML-93 : European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993 : proceedings<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\nschema:productID<\/a> \"264982473<\/span>\" ;\u00A0\u00A0\u00A0\nschema:publication<\/a> <http:\/\/www.worldcat.org\/title\/-\/oclc\/264982473#PublicationEvent\/berlin_london_springer_verlag_1993<\/a>> ;\u00A0\u00A0\u00A0\nschema:publisher<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Agent\/springer_verlag<\/a>> ; # Springer-Verlag<\/span>\n\u00A0\u00A0\u00A0\nschema:url<\/a> <http:\/\/swbplus.bsz-bw.de\/bsz032782799cov.htm<\/a>> ;\u00A0\u00A0\u00A0\nschema:url<\/a> <https:\/\/www.lib.uwo.ca\/cgi-bin\/ezpauthn.cgi?url=http:\/\/www.springerlink.com\/openurl.asp?genre=issue&issn=0302-9743&volume=667<\/a>> ;\u00A0\u00A0\u00A0\nschema:workExample<\/a> <http:\/\/worldcat.org\/isbn\/9780387566023<\/a>> ;\u00A0\u00A0\u00A0\nschema:workExample<\/a> <http:\/\/worldcat.org\/isbn\/9783540566021<\/a>> ;\u00A0\u00A0\u00A0\numbel:isLike<\/a> <http:\/\/d-nb.info\/930449312<\/a>> ;\u00A0\u00A0\u00A0\nwdrs:describedby<\/a> <http:\/\/www.worldcat.org\/title\/-\/oclc\/264982473<\/a>> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n\n

Related Entities<\/h3>\n
<http:\/\/dbpedia.org\/resource\/London<\/a>> # London<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Place<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"London<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/dewey.info\/class\/006.31\/<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Agent\/springer_verlag<\/a>> # Springer-Verlag<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nbgn:Agent<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Springer-Verlag<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Meeting\/european_conference_on_machine_learning_1993_vienna_austria<\/a>> # European Conference on Machine Learning (1993 : Vienna, Austria)<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nbgn:Meeting<\/a>, schema:Event<\/a> ;\u00A0\u00A0\u00A0\nschema:location<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Place\/vienna_austria<\/a>> ; # Vienna, Austria)<\/span>\n\u00A0\u00A0\u00A0\nschema:name<\/a> \"European Conference on Machine Learning (1993 : Vienna, Austria)<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Place\/berlin<\/a>> # Berlin<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Place<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Berlin<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Place\/vienna_austria<\/a>> # Vienna, Austria)<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Place<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Vienna, Austria)<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Place\/wien_1992<\/a>> # Wien <1992><\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Place<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Wien <1992><\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Series\/lecture_notes_in_computer_science<\/a>> # Lecture notes in computer science.<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nbgn:PublicationSeries<\/a> ;\u00A0\u00A0\u00A0\nschema:hasPart<\/a> <http:\/\/www.worldcat.org\/oclc\/264982473<\/a>> ; # Machine learning: ECML-93 : European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993 : proceedings<\/span>\n\u00A0\u00A0\u00A0\nschema:name<\/a> \"Lecture notes in computer science.<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Series\/lecture_notes_in_computer_science_lecture_notes_in_artificial_intelligence<\/a>> # Lecture notes in computer science. Lecture notes in artificial intelligence ;<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nbgn:PublicationSeries<\/a> ;\u00A0\u00A0\u00A0\nschema:hasPart<\/a> <http:\/\/www.worldcat.org\/oclc\/264982473<\/a>> ; # Machine learning: ECML-93 : European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993 : proceedings<\/span>\n\u00A0\u00A0\u00A0\nschema:name<\/a> \"Lecture notes in computer science. Lecture notes in artificial intelligence ;<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Topic\/learning_psychology_of<\/a>> # Learning, Psychology of<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nrdfs:seeAlso<\/a> <http:\/\/id.loc.gov\/authorities\/subjects\/sh2008106878<\/a>> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Learning, Psychology of<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Topic\/machine_learning<\/a>> # Machine learning<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nrdfs:seeAlso<\/a> <http:\/\/id.loc.gov\/authorities\/subjects\/sh2008107143<\/a>> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Machine learning<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Topic\/maschinelles_lernen<\/a>> # Maschinelles Lernen<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Maschinelles Lernen<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/id.loc.gov\/vocabulary\/countries\/gw<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:Place<\/a> ;\u00A0\u00A0\u00A0\ndcterms:identifier<\/a> \"gw<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/id.worldcat.org\/fast\/1004795<\/a>> # Machine learning<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Machine learning<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/id.worldcat.org\/fast\/970736<\/a>> # Induction (Logic)<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Induction (Logic)<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/id.worldcat.org\/fast\/995009<\/a>> # Learning, Psychology of<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Learning, Psychology of<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/viaf.org\/viaf\/69605839<\/a>> # Pavel B. Brazdil<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Person<\/a> ;\u00A0\u00A0\u00A0\nschema:birthDate<\/a> \"1945<\/span>\" ;\u00A0\u00A0\u00A0\nschema:familyName<\/a> \"Brazdil<\/span>\" ;\u00A0\u00A0\u00A0\nschema:givenName<\/a> \"Pavel B.<\/span>\" ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Pavel B. Brazdil<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/worldcat.org\/isbn\/9780387566023<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:ProductModel<\/a> ;\u00A0\u00A0\u00A0\nschema:isbn<\/a> \"0387566023<\/span>\" ;\u00A0\u00A0\u00A0\nschema:isbn<\/a> \"9780387566023<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/worldcat.org\/isbn\/9783540566021<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:ProductModel<\/a> ;\u00A0\u00A0\u00A0\nschema:isbn<\/a> \"3540566023<\/span>\" ;\u00A0\u00A0\u00A0\nschema:isbn<\/a> \"9783540566021<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/www.worldcat.org\/oclc\/1084295568<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:CreativeWork<\/a> ;\u00A0\u00A0\u00A0\nrdfs:label<\/a> \"Machine learning: ECML-93.<\/span>\" ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"Online version:<\/span>\" ;\u00A0\u00A0\u00A0\nschema:isSimilarTo<\/a> <http:\/\/www.worldcat.org\/oclc\/264982473<\/a>> ; # Machine learning: ECML-93 : European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993 : proceedings<\/span>\n\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/www.worldcat.org\/title\/-\/oclc\/264982473<\/a>>\u00A0\u00A0\u00A0\u00A0a \ngenont:InformationResource<\/a>, genont:ContentTypeGenericResource<\/a> ;\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/www.worldcat.org\/oclc\/264982473<\/a>> ; # Machine learning: ECML-93 : European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993 : proceedings<\/span>\n\u00A0\u00A0\u00A0\nschema:dateModified<\/a> \"2019-02-04<\/span>\" ;\u00A0\u00A0\u00A0\nvoid:inDataset<\/a> <http:\/\/purl.oclc.org\/dataset\/WorldCat<\/a>> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/www.worldcat.org\/title\/-\/oclc\/264982473#PublicationEvent\/berlin_london_springer_verlag_1993<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:PublicationEvent<\/a> ;\u00A0\u00A0\u00A0\nschema:location<\/a> <http:\/\/dbpedia.org\/resource\/London<\/a>> ; # London<\/span>\n\u00A0\u00A0\u00A0\nschema:location<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Place\/berlin<\/a>> ; # Berlin<\/span>\n\u00A0\u00A0\u00A0\nschema:organizer<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/364386249#Agent\/springer_verlag<\/a>> ; # Springer-Verlag<\/span>\n\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n