Machine learning : from theory to applications ; cooperative research at Siemens and MIT

Bibliographische Detailangaben

Titel
Machine learning from theory to applications ; cooperative research at Siemens and MIT
verantwortlich
Hanson, Stephen José (Sonstige)
Schriftenreihe
Lecture notes in computer science ; 661
veröffentlicht
Berlin [u.a.]: Springer, 1993
Online-Ausg.. Berlin [u.a.]: Springer, 2006
Erscheinungsjahr
1993
Teil von
Lecture notes in computer science ; 661
Druckausg.
Machine learning, Berlin : Springer, 1993, VIII, 271 S.
Andere Ausgaben
Machine learning: from theory to applications ; cooperative research at Siemens and MIT
Medientyp
E-Book
Datenquelle
K10plus Verbundkatalog
Springer Lecture Notes
Tags
Tag hinzufügen

Zugang

Weitere Informationen sehen Sie, wenn Sie angemeldet sind. Noch keinen Account? Jetzt registrieren.

LEADER 10647cam a2201453 4500
001 183-595126758
003 DE-627
005 20240214204718.0
007 cr uuu---uuuuu
008 090328s1993 gw |||||o 00| ||eng c
020 |a 9783540475682  |9 978-3-540-47568-2 
024 7 |a 10.1007/3-540-56483-7  |2 doi 
035 |a (DE-627)595126758 
035 |a (DE-576)9595126756 
035 |a (DE-599)GBV595126758 
035 |a (DE-601)NLM00372154X 
035 |a (ZBM)0825.00048 
035 |a (ZBM)0825.00048 
035 |a (DE-He213)978-3-540-47568-2 
035 |a (EBP)040474402 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
044 |c XA-DE-BE 
050 0 |a Q325.5 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
084 |a 28  |2 sdnb 
084 |a ST 285  |q SEPA  |2 rvk  |0 (DE-625)rvk/143648: 
084 |a SS 4800  |q SEPA  |2 rvk  |0 (DE-625)rvk/143528: 
084 |a ST 300  |q SEPA  |2 rvk  |0 (DE-625)rvk/143650: 
084 |a *00B15  |2 msc 
084 |a 68-06  |2 msc 
084 |a 54.10  |2 bkl 
084 |a 54.72  |2 bkl 
245 1 0 |a Machine learning  |b from theory to applications ; cooperative research at Siemens and MIT  |c S. J. Hanson ... (eds.) 
264 1 |a Berlin [u.a.]  |b Springer  |c 1993 
300 |a Online-Ressource (VIII, 271 S.) 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
490 1 |a Lecture notes in computer science  |v 661 
500 |a Literaturangaben 
520 |a Strategic directions in machine learning -- Training a 3-node neural network is NP-complete -- Cryptographic limitations on learning Boolean formulae and finite automata -- Inference of finite automata using homing sequences -- Adaptive search by learning from incomplete explanations of failures -- Learning of rules for fault diagnosis in power supply networks -- Cross references are features -- The schema mechanism -- L-ATMS: A tight integration of EBL and the ATMS -- Massively parallel symbolic induction of protein structure/function relationships -- Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks -- Phoneme discrimination using connectionist networks -- Behavior-based learning to control IR oven heating: Preliminary investigations -- Trellis codes, receptive fields, and fault tolerant, self-repairing neural networks. 
520 |a This volume includes some of the key research papers in the area of machine learning produced at MIT and Siemens during a three-year joint research effort. It includes papers on many different styles of machine learning, organized into three parts. Part I, theory, includes three papers on theoretical aspects of machine learning. The first two use the theory of computational complexity to derive some fundamental limits on what isefficiently learnable. The third provides an efficient algorithm for identifying finite automata. Part II, artificial intelligence and symbolic learning methods, includes five papers giving an overview of the state of the art and future developments in the field of machine learning, a subfield of artificial intelligence dealing with automated knowledge acquisition and knowledge revision. Part III, neural and collective computation, includes five papers sampling the theoretical diversity and trends in the vigorous new research field of neural networks: massively parallel symbolic induction, task decomposition through competition, phoneme discrimination, behavior-based learning, and self-repairing neural networks. 
533 |a Online-Ausg.  |b Berlin [u.a.]  |c Springer  |d 2006  |f Springer lecture notes archive  |7 |2006|||||||||| 
650 0 |a Machine learning  |x Congresses 
650 0 |a Artificial intelligence  |x Congresses 
650 0 |a Neural networks (Computer science)  |x Congresses 
650 0 |a Computer science 
650 0 |a Artificial intelligence 
650 0 |a Microprocessors. 
650 0 |a Computer architecture. 
650 4 |a Computation by Abstract Devices 
650 4 |a Computer Science 
650 4 |a Processor Architectures 
650 4 |a Artificial Intelligence (incl. Robotics) 
650 4 |a Informatik 
650 4 |a Informationsverarbeitung 
650 4 |a Künstliche Intelligenz 
650 4 |a Lerntheorie 
653 0 |a Machine  |a Congresses 
653 0 |a Artificial  |a Congresses 
653 0 |a Neural  |a Congresses 
655 7 |a Aufsatzsammlung  |0 (DE-588)4143413-4  |0 (DE-627)105605727  |0 (DE-576)209726091  |2 gnd-content 
689 0 0 |D s  |0 (DE-588)4193754-5  |0 (DE-627)105224782  |0 (DE-576)21008944X  |a Maschinelles Lernen  |2 gnd 
689 0 |5 DE-101 
700 1 |a Hanson, Stephen José  |4 oth 
776 1 |z 3540564837 
776 1 |z 9783540564836 
776 0 8 |i Druckausg.  |t Machine learning  |d Berlin : Springer, 1993  |h VIII, 271 S.  |w (DE-627)122687868  |w (DE-576)032837437  |z 3540564837  |z 0387564837 
830 0 |a Lecture notes in computer science  |v 661  |9 66100  |w (DE-627)316228877  |w (DE-576)093890923  |w (DE-600)2018930-8  |x 1611-3349  |7 ns 
856 4 0 |u http://www.springerlink.com/content/ul47l844n871  |x Verlag  |z lizenzpflichtig  |3 Volltext 
856 4 0 |u http://www.springerlink.de/openurl.asp?genre=book&isbn=978-3-540-56483-6  |x Verlag  |z lizenzpflichtig  |3 Volltext 
856 4 0 |u http://dx.doi.org/10.1007/3-540-56483-7  |x Resolving-System  |z lizenzpflichtig  |3 Volltext 
856 4 0 |u https://doi.org/10.1007/3-540-56483-7  |m X:SPRINGER  |x Resolving-System  |z lizenzpflichtig 
856 4 2 |u https://zbmath.org/?q=an:0825.00048  |m B:ZBM  |v 2021-04-12  |x Verlag  |y Zentralblatt MATH  |3 Inhaltstext 
912 |a ZDB-1-SLN 
912 |a ZDB-2-LNC  |b 1993 
912 |a ZDB-2-SCS  |b 1993 
912 |a ZDB-2-BAE  |b 1993 
912 |a ZDB-2-SXCS  |b 1993 
912 |a ZDB-2-SEB  |b 1993 
912 |a SSG-OPC-mat 
924 1 |a 1221298623  |b DE-1a  |9 1a  |c GBV  |d d  |h 5:INTERN  |k http://erf.sbb.spk-berlin.de/han/512881081/dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 202667081  |b DE-84  |9 84  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 201777320  |b DE-46  |9 46  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1162771437  |b DE-18  |9 18  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7  |k http://emedien.sub.uni-hamburg.de/han/SpringerEbooks/dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 202426335  |b DE-830  |9 830  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 20269075X  |b DE-8  |9 8  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 3503727167  |b DE-104  |9 104  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1114763802  |b DE-27  |9 27  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 202731901  |b DE-Ilm1  |9 Ilm 1  |c GBV  |d d  |g Online-Ressource  |h Internet 
924 1 |a 127348729X  |b DE-7  |9 7  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7  |k http://han.sub.uni-goettingen.de/han/SpringerLectureNotesinComputerScience/dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1159774412  |b DE-705  |9 705  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 202643409  |b DE-28  |9 28  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 202702588  |b DE-Wim2  |9 Wim 2  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 202631567  |b DE-3  |9 3  |c GBV  |d d  |g ebook  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1173496769  |b DE-9  |9 9  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1670357139  |b DE-95  |9 95  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1196440972  |b DE-Ma9  |9 Ma 9  |c GBV  |d d  |g ebook SpringerLectureNotes  |k http://dx.doi.org/10.1007/3-540-56483-7  |k http://han.med.uni-magdeburg.de/han/NLUNIeBookSpringerLectureNotes/dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1196477515  |b DE-Ma14  |9 Ma 14  |c GBV  |d d  |g ebook SpringerLectureNotes  |k http://dx.doi.org/10.1007/3-540-56483-7  |k http://han.med.uni-magdeburg.de/han/NLUNIeBookSpringerLectureNotes/dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1217416587  |b DE-Luen4  |9 Lün 4  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1586808761  |b DE-Kt1  |9 Kt 1  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 927646153  |b DE-715  |9 715  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1753261228  |b DE-715  |9 715  |c GBV  |d d  |k http://49gbv-uob-primo.hosted.exlibrisgroup.com/openurl/49GBV_UOB/UOB_services_page?u.ignore_date_coverage=true&rft.mms_id=991010473249703501  |l Springer Lecture Notes [Nationallizenz]  |l Campusweiter Zugriff (Universität Oldenburg). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden. 
924 1 |a 202655245  |b DE-700  |9 700  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 3848426250  |b DE-Wis1  |9 Wis 1  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1263874665  |b DE-755  |9 755  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1172947740  |b DE-960  |9 960  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 203361911  |b DE-916  |9 916  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1823528023  |b DE-Ki95  |9 Ki 95  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1222077086  |b DE-H155  |9 H 155  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 202678911  |b DE-517  |9 517  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 1172991480  |b DE-960-3  |9 960/3  |c GBV  |d d  |k http://dx.doi.org/10.1007/3-540-56483-7 
924 1 |a 4484379031  |b DE-14  |9 14  |c BSZ  |d d  |k https://doi.org/10.1007/3-540-56483-7 
924 1 |a 448437904X  |b DE-576  |9 576  |c BSZ  |d d 
924 1 |a 4484338653  |b DE-Ofb1  |9 Ofb 1  |c BSZ  |d d  |g E-Book Springer  |k https://doi.org/10.1007/3-540-56483-7  |l Zum Online-Dokument  |l Zugang im Hochschulnetz der HS Offenburg / extern via VPN oder Shibboleth (Login über Institution) 
936 r v |a ST 285  |b Computer supported cooperative work (CSCW), Groupware  |k Informatik  |k Monografien  |k Software und -entwicklung  |k Computer supported cooperative work (CSCW), Groupware  |0 (DE-627)1270877453  |0 (DE-625)rvk/143648:  |0 (DE-576)200877453 
936 r v |a SS 4800  |b Lecture notes in computer science  |k Informatik  |k Enzyklopädien und Handbücher. Kongressberichte Schriftenreihe. Tafeln und Formelsammlungen  |k Schriftenreihen (indiv. Sign.)  |k Lecture notes in computer science  |0 (DE-627)1271461242  |0 (DE-625)rvk/143528:  |0 (DE-576)201461242 
936 r v |a ST 300  |b Allgemeines  |k Informatik  |k Monografien  |k Künstliche Intelligenz  |k Allgemeines  |0 (DE-627)1271119005  |0 (DE-625)rvk/143650:  |0 (DE-576)201119005 
936 b k |a 54.10  |j Theoretische Informatik  |0 (DE-627)106418815 
936 b k |a 54.72  |j Künstliche Intelligenz  |0 (DE-627)10641240X 
951 |a BO 
980 |a 595126758  |b 183  |c sid-183-col-kxpbbi 
openURL url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fkatalog.fid-bbi.de%3Agenerator&rft.title=Machine+learning%3A+from+theory+to+applications+%3B+cooperative+research+at+Siemens+and+MIT&rft.date=1993&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.btitle=Machine+learning%3A+from+theory+to+applications+%3B+cooperative+research+at+Siemens+and+MIT&rft.series=Lecture+notes+in+computer+science%2C+661&rft.au=&rft.pub=Springer&rft.edition=&rft.isbn=3540475680
SOLR
_version_ 1797248075857657856
author2 Hanson, Stephen José
author2_role oth
author2_variant s j h sj sjh
author_facet Hanson, Stephen José
building Library A
callnumber-first Q - Science
callnumber-label Q325
callnumber-raw Q325.5
callnumber-search Q325.5
callnumber-sort Q 3325.5
callnumber-subject Q - General Science
collection ZDB-1-SLN, ZDB-2-LNC, ZDB-2-SCS, ZDB-2-BAE, ZDB-2-SXCS, ZDB-2-SEB, SSG-OPC-mat, sid-183-col-kxpbbi
contents Strategic directions in machine learning -- Training a 3-node neural network is NP-complete -- Cryptographic limitations on learning Boolean formulae and finite automata -- Inference of finite automata using homing sequences -- Adaptive search by learning from incomplete explanations of failures -- Learning of rules for fault diagnosis in power supply networks -- Cross references are features -- The schema mechanism -- L-ATMS: A tight integration of EBL and the ATMS -- Massively parallel symbolic induction of protein structure/function relationships -- Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks -- Phoneme discrimination using connectionist networks -- Behavior-based learning to control IR oven heating: Preliminary investigations -- Trellis codes, receptive fields, and fault tolerant, self-repairing neural networks., This volume includes some of the key research papers in the area of machine learning produced at MIT and Siemens during a three-year joint research effort. It includes papers on many different styles of machine learning, organized into three parts. Part I, theory, includes three papers on theoretical aspects of machine learning. The first two use the theory of computational complexity to derive some fundamental limits on what isefficiently learnable. The third provides an efficient algorithm for identifying finite automata. Part II, artificial intelligence and symbolic learning methods, includes five papers giving an overview of the state of the art and future developments in the field of machine learning, a subfield of artificial intelligence dealing with automated knowledge acquisition and knowledge revision. Part III, neural and collective computation, includes five papers sampling the theoretical diversity and trends in the vigorous new research field of neural networks: massively parallel symbolic induction, task decomposition through competition, phoneme discrimination, behavior-based learning, and self-repairing neural networks.
ctrlnum (DE-627)595126758, (DE-576)9595126756, (DE-599)GBV595126758, (DE-601)NLM00372154X, (ZBM)0825.00048, (DE-He213)978-3-540-47568-2, (EBP)040474402
doi_str_mv 10.1007/3-540-56483-7
facet_912a ZDB-1-SLN, ZDB-2-LNC, ZDB-2-SCS, ZDB-2-BAE, ZDB-2-SXCS, ZDB-2-SEB, SSG-OPC-mat
facet_avail Online
facet_local_del330 Maschinelles Lernen
facet_topic_nrw_music Machine, Congresses, Artificial, Neural
finc_class_facet Informatik, Allgemeine Naturwissenschaft
fincclass_txtF_mv science-computerscience
footnote Literaturangaben
format eBook
format_access_txtF_mv Book, E-Book
format_de105 Ebook
format_de14 Book, E-Book
format_de15 Book, E-Book
format_del152 Buch
format_detail_txtF_mv text-online-monograph-independent
format_dezi4 e-Book
format_finc Book, E-Book
format_legacy ElectronicBook
format_legacy_nrw Book, E-Book
format_nrw Book, E-Book
format_strict_txtF_mv E-Book
genre Aufsatzsammlung (DE-588)4143413-4 (DE-627)105605727 (DE-576)209726091 gnd-content
genre_facet Aufsatzsammlung
geogr_code not assigned
geogr_code_person not assigned
hierarchy_parent_id 183-316228877
hierarchy_parent_title Lecture notes in computer science
hierarchy_sequence 66100
hierarchy_top_id 183-316228877
hierarchy_top_title Lecture notes in computer science
id 183-595126758
illustrated Not Illustrated
imprint Berlin [u.a.], Springer, 1993
imprint_str_mv Berlin [u.a.]: Springer, 1993, Online-Ausg.: Berlin [u.a.]: Springer, 2006
institution FID-BBI-DE-23
is_hierarchy_id 183-595126758
is_hierarchy_title Machine learning: from theory to applications ; cooperative research at Siemens and MIT
isbn 9783540475682
isbn_isn_mv 3540564837, 9783540564836, 0387564837
issn_isn_mv 1611-3349
language English
last_indexed 2024-04-24T20:08:49.865Z
marc024a_ct_mv 10.1007/3-540-56483-7
marc_error [geogr_code]Unable to make public java.lang.AbstractStringBuilder java.lang.AbstractStringBuilder.append(java.lang.String) accessible: module java.base does not "opens java.lang" to unnamed module @6684697a
match_str hanson1993machinelearningfromtheorytoapplicationscooperativeresearchatsiemensandmit
mega_collection K10plus Verbundkatalog, Springer Lecture Notes
multipart_link 093890923
multipart_part (093890923)661
physical Online-Ressource (VIII, 271 S.)
publishDate 1993
publishDateSort 1993
publishPlace Berlin [u.a.]
publisher Springer
record_format marcfinc
record_id 595126758
recordtype marcfinc
rvk_facet ST 285, SS 4800, ST 300
rvk_label Informatik, Monografien, Software und -entwicklung, Computer supported cooperative work (CSCW), Groupware, Enzyklopädien und Handbücher. Kongressberichte Schriftenreihe. Tafeln und Formelsammlungen, Schriftenreihen (indiv. Sign.), Lecture notes in computer science, Künstliche Intelligenz, Allgemeines
rvk_path SS, ST, ST 285, SQ - SU, SS 4000 - SS 5999, ST 300, SS 4800, ST 300 - ST 308, ST 230 - ST 285
rvk_path_str_mv SS, ST, ST 285, SQ - SU, SS 4000 - SS 5999, ST 300, SS 4800, ST 300 - ST 308, ST 230 - ST 285
series Lecture notes in computer science, 661
series2 Lecture notes in computer science ; 661
source_id 183
spelling Machine learning from theory to applications ; cooperative research at Siemens and MIT S. J. Hanson ... (eds.), Berlin [u.a.] Springer 1993, Online-Ressource (VIII, 271 S.), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Lecture notes in computer science 661, Literaturangaben, Strategic directions in machine learning -- Training a 3-node neural network is NP-complete -- Cryptographic limitations on learning Boolean formulae and finite automata -- Inference of finite automata using homing sequences -- Adaptive search by learning from incomplete explanations of failures -- Learning of rules for fault diagnosis in power supply networks -- Cross references are features -- The schema mechanism -- L-ATMS: A tight integration of EBL and the ATMS -- Massively parallel symbolic induction of protein structure/function relationships -- Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks -- Phoneme discrimination using connectionist networks -- Behavior-based learning to control IR oven heating: Preliminary investigations -- Trellis codes, receptive fields, and fault tolerant, self-repairing neural networks., This volume includes some of the key research papers in the area of machine learning produced at MIT and Siemens during a three-year joint research effort. It includes papers on many different styles of machine learning, organized into three parts. Part I, theory, includes three papers on theoretical aspects of machine learning. The first two use the theory of computational complexity to derive some fundamental limits on what isefficiently learnable. The third provides an efficient algorithm for identifying finite automata. Part II, artificial intelligence and symbolic learning methods, includes five papers giving an overview of the state of the art and future developments in the field of machine learning, a subfield of artificial intelligence dealing with automated knowledge acquisition and knowledge revision. Part III, neural and collective computation, includes five papers sampling the theoretical diversity and trends in the vigorous new research field of neural networks: massively parallel symbolic induction, task decomposition through competition, phoneme discrimination, behavior-based learning, and self-repairing neural networks., Online-Ausg. Berlin [u.a.] Springer 2006 Springer lecture notes archive |2006||||||||||, Machine learning Congresses, Artificial intelligence Congresses, Neural networks (Computer science) Congresses, Computer science, Artificial intelligence, Microprocessors., Computer architecture., Computation by Abstract Devices, Computer Science, Processor Architectures, Artificial Intelligence (incl. Robotics), Informatik, Informationsverarbeitung, Künstliche Intelligenz, Lerntheorie, Machine Congresses, Artificial Congresses, Neural Congresses, Aufsatzsammlung (DE-588)4143413-4 (DE-627)105605727 (DE-576)209726091 gnd-content, s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd, DE-101, Hanson, Stephen José oth, 3540564837, 9783540564836, Druckausg. Machine learning Berlin : Springer, 1993 VIII, 271 S. (DE-627)122687868 (DE-576)032837437 3540564837 0387564837, Lecture notes in computer science 661 66100 (DE-627)316228877 (DE-576)093890923 (DE-600)2018930-8 1611-3349 ns, http://www.springerlink.com/content/ul47l844n871 Verlag lizenzpflichtig Volltext, http://www.springerlink.de/openurl.asp?genre=book&isbn=978-3-540-56483-6 Verlag lizenzpflichtig Volltext, http://dx.doi.org/10.1007/3-540-56483-7 Resolving-System lizenzpflichtig Volltext, https://doi.org/10.1007/3-540-56483-7 X:SPRINGER Resolving-System lizenzpflichtig, https://zbmath.org/?q=an:0825.00048 B:ZBM 2021-04-12 Verlag Zentralblatt MATH Inhaltstext
spellingShingle Machine learning: from theory to applications ; cooperative research at Siemens and MIT, Lecture notes in computer science, 661, Strategic directions in machine learning -- Training a 3-node neural network is NP-complete -- Cryptographic limitations on learning Boolean formulae and finite automata -- Inference of finite automata using homing sequences -- Adaptive search by learning from incomplete explanations of failures -- Learning of rules for fault diagnosis in power supply networks -- Cross references are features -- The schema mechanism -- L-ATMS: A tight integration of EBL and the ATMS -- Massively parallel symbolic induction of protein structure/function relationships -- Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks -- Phoneme discrimination using connectionist networks -- Behavior-based learning to control IR oven heating: Preliminary investigations -- Trellis codes, receptive fields, and fault tolerant, self-repairing neural networks., This volume includes some of the key research papers in the area of machine learning produced at MIT and Siemens during a three-year joint research effort. It includes papers on many different styles of machine learning, organized into three parts. Part I, theory, includes three papers on theoretical aspects of machine learning. The first two use the theory of computational complexity to derive some fundamental limits on what isefficiently learnable. The third provides an efficient algorithm for identifying finite automata. Part II, artificial intelligence and symbolic learning methods, includes five papers giving an overview of the state of the art and future developments in the field of machine learning, a subfield of artificial intelligence dealing with automated knowledge acquisition and knowledge revision. Part III, neural and collective computation, includes five papers sampling the theoretical diversity and trends in the vigorous new research field of neural networks: massively parallel symbolic induction, task decomposition through competition, phoneme discrimination, behavior-based learning, and self-repairing neural networks., Machine learning Congresses, Artificial intelligence Congresses, Neural networks (Computer science) Congresses, Computer science, Artificial intelligence, Microprocessors., Computer architecture., Computation by Abstract Devices, Computer Science, Processor Architectures, Artificial Intelligence (incl. Robotics), Informatik, Informationsverarbeitung, Künstliche Intelligenz, Lerntheorie, Machine, Congresses, Artificial, Neural, Aufsatzsammlung, Maschinelles Lernen
title Machine learning: from theory to applications ; cooperative research at Siemens and MIT
title_auth Machine learning from theory to applications ; cooperative research at Siemens and MIT
title_full Machine learning from theory to applications ; cooperative research at Siemens and MIT S. J. Hanson ... (eds.)
title_fullStr Machine learning from theory to applications ; cooperative research at Siemens and MIT S. J. Hanson ... (eds.)
title_full_unstemmed Machine learning from theory to applications ; cooperative research at Siemens and MIT S. J. Hanson ... (eds.)
title_in_hierarchy 661. Machine learning: from theory to applications ; cooperative research at Siemens and MIT (1993)
title_short Machine learning
title_sort machine learning from theory to applications ; cooperative research at siemens and mit
title_sub from theory to applications ; cooperative research at Siemens and MIT
title_unstemmed Machine learning: from theory to applications ; cooperative research at Siemens and MIT
topic Machine learning Congresses, Artificial intelligence Congresses, Neural networks (Computer science) Congresses, Computer science, Artificial intelligence, Microprocessors., Computer architecture., Computation by Abstract Devices, Computer Science, Processor Architectures, Artificial Intelligence (incl. Robotics), Informatik, Informationsverarbeitung, Künstliche Intelligenz, Lerntheorie, Machine, Congresses, Artificial, Neural, Aufsatzsammlung, Maschinelles Lernen
topic_facet Machine learning, Artificial intelligence, Neural networks (Computer science), Computer science, Microprocessors., Computer architecture., Computation by Abstract Devices, Computer Science, Processor Architectures, Artificial Intelligence (incl. Robotics), Informatik, Informationsverarbeitung, Künstliche Intelligenz, Lerntheorie, Congresses, Aufsatzsammlung, Maschinelles Lernen, Machine, Artificial, Neural
url http://www.springerlink.com/content/ul47l844n871, http://www.springerlink.de/openurl.asp?genre=book&isbn=978-3-540-56483-6, http://dx.doi.org/10.1007/3-540-56483-7, https://doi.org/10.1007/3-540-56483-7, https://zbmath.org/?q=an:0825.00048
work_keys_str_mv AT hansonstephenjose machinelearningfromtheorytoapplicationscooperativeresearchatsiemensandmit