Verfügbarkeit: Preference Learning | Technische Universität München

Preference Learning:

Gespeichert in:

Bibliographische Detailangaben
Weitere beteiligte Personen:	Fürnkranz, Johannes (HerausgeberIn), Hüllermeier, Eyke 1969- (HerausgeberIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	Berlin Springer Berlin 2014
Ausgabe:	Softcover re-print of the Hardcover 1st edition 2011
Schlagwörter:	Gewichtung Lerntechnik Künstliche Intelligenz
Links:	http://deposit.dnb.de/cgi-bin/dokserv?id=5140925&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034310216&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	IX, 466 Seiten 235 mm x 155 mm, 724 g
ISBN:	9783642422300 3642422306

Internformat

MARC


LEADER	00000nam a22000008c 4500
001	BV049047805
003	DE-604
005	20230719
007	t\|
008	230712s2014 gw \|\|\|\| 00\|\|\| eng d
015			\|a 15,N06 \|2 dnb
016	7		\|a 106594490X \|2 DE-101
020			\|a 9783642422300 \|c Pb. : EUR 123.04 (DE) (freier Pr.), EUR 126.49 (AT) (freier Pr.), sfr 153.50 (freier Pr.) \|9 978-3-642-42230-0
020			\|a 3642422306 \|9 3-642-42230-6
024	3		\|a 9783642422300
028	5	2	\|a Best.-Nr.: 978-3-642-42230-0
035			\|a (OCoLC)902883413
035			\|a (DE-599)DNB106594490X
040			\|a DE-604 \|b ger \|e rda
041	0		\|a eng
044			\|a gw \|c XA-DE-BE
049			\|a DE-739
084			\|a ST 300 \|0 (DE-625)143650: \|2 rvk
084			\|a 004 \|2 sdnb
245	1	0	\|a Preference Learning
250			\|a Softcover re-print of the Hardcover 1st edition 2011
263			\|a 201409
264		1	\|a Berlin \|b Springer Berlin \|c 2014
300			\|a IX, 466 Seiten \|c 235 mm x 155 mm, 724 g
336			\|b txt \|2 rdacontent
337			\|b n \|2 rdamedia
338			\|b nc \|2 rdacarrier
650	0	7	\|a Gewichtung \|0 (DE-588)4343264-5 \|2 gnd \|9 rswk-swf
650	0	7	\|a Lerntechnik \|0 (DE-588)4074168-0 \|2 gnd \|9 rswk-swf
650	0	7	\|a Künstliche Intelligenz \|0 (DE-588)4033447-8 \|2 gnd \|9 rswk-swf
689	0	0	\|a Künstliche Intelligenz \|0 (DE-588)4033447-8 \|D s
689	0	1	\|a Lerntechnik \|0 (DE-588)4074168-0 \|D s
689	0	2	\|a Gewichtung \|0 (DE-588)4343264-5 \|D s
689	0		\|5 DE-604
700	1		\|a Fürnkranz, Johannes \|0 (DE-588)13598517X \|4 edt
700	1		\|a Hüllermeier, Eyke \|d 1969- \|0 (DE-588)115498370 \|4 edt
856	4	2	\|m X:MVB \|q text/html \|u http://deposit.dnb.de/cgi-bin/dokserv?id=5140925&prov=M&dok_var=1&dok_ext=htm \|3 Inhaltstext
856	4	2	\|m Digitalisierung UB Passau - ADAM Catalogue Enrichment \|q application/pdf \|u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034310216&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA \|3 Inhaltsverzeichnis
943	1		\|a oai:aleph.bib-bvb.de:BVB01-034310216

Datensatz im Suchindex

_version_	1819357348302422016
adam_text	Contents Preference Learning: An Introduction............................................................... Johannes Fiirnkranz and Eyke Hüllermeier A Preference Optimization Based Unifying Framework for Supervised Learning Problems...................................................................... Fabio Aiolli and Alessandro Sperduti Part I 1 19 Label Ranking Label Ranking Algorithms: A Survey................................................................ 45 Shankar Vembu and Thomas Gärtner Preference Learning and Ranking by Pairwise Comparison.......................... 65 Johannes Fürnkranz and Eyke Hüllermeier Decision Tree Modeling for Ranking Data......................................................... 83 Philip L.H. Yu, Wai Ming Wan, and Paul H. Lee Co-Regularized Least-Squares for Label Ranking............................................ 107 Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, and Tom Heskes Part II Instance Ranking A Survey on ROC-Based Ordinal Regression..................................................... 127 Willem Waegeman and Bernard De Baets Ranking Cases with Classification Rules............................................................. 155 Jianping Zhang, Jerzy W. Bala, Ali Hadjarian, and Brent Han vii viii Part III Contents Object Ranking A Survey and Empirical Comparison of Object Ranking Methods............................................................................................................. 181 Toshihiro Kamishima, Hideto Kazawa, and Shotaro Akaho Dimension Reduction for Object Ranking..................................................... 203 Toshihiro Kamishima and Shotaro Akaho Learning of Rule Ensembles for Multiple Attribute Ranking Problems ............................................................................................. 217 Krzysztof Dembczyňski, Wojciech Kotlowski, Roman Słowiński, and Marcin Szelag Part IV Preferences in Multi-Attribute Domains Learning Lexicographic Preference Models................................................... 251 Fusun Yaman, Thomas J. Walsh, Michael L. Littman, and Marie desJardins Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets.......................................................................................... 273 Yann Chevaleyre, Frédéric Koriche, Jérôme Lang, Jérôme Mengin, and Bruno Zanuttini Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models................................................................................................... 297 Joachim Giesen, Klaus Mueller, Bilyana Taneva, and Peter Zolliker Learning Aggregation Operators for Preference Modeling.......................... 317 Vicenç Torra Part V Preferences in Information Retrieval Evaluating Search Engine Relevance with Click-Based Metrics................................................................................... 337 Filip Radliński, Madhu Kurup, and Thorsten Joachims Learning SVM Ranking Functions from User Feedback Using Document Metadata and Active Learning in the Biomedical Domain................................................................................. 363 Robert Arens Contents Part VI Preferences in Recommender Systems Learning Preference Models in Recommender Systems.................................. Յ87 Marco de Gemmiş, Leo laquinta, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, and Giovanni Semeraro Collaborative Preference Learning................................................... Alexandros Karatzoglou and Markus Weimer Discerning Relevant Model Features in a Content-Based Collaborative Recommender System........................................... Alejandro Bellogín, Iván Cantador, Pablo Castells, and Alvaro Ortigosa Subject Index.............................................................................. Author Index...................................... 4qç 42$ 45շ .................................................................. 465
any_adam_object	1
author2	Fürnkranz, Johannes Hüllermeier, Eyke 1969-
author2_role	edt edt
author2_variant	j f jf e h eh
author_GND	(DE-588)13598517X (DE-588)115498370
author_facet	Fürnkranz, Johannes Hüllermeier, Eyke 1969-
building	Verbundindex
bvnumber	BV049047805
classification_rvk	ST 300
ctrlnum	(OCoLC)902883413 (DE-599)DNB106594490X
discipline	Informatik
edition	Softcover re-print of the Hardcover 1st edition 2011
format	Book
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02019nam a22004938c 4500</leader><controlfield tag="001">BV049047805</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230719 </controlfield><controlfield tag="007">t\|</controlfield><controlfield tag="008">230712s2014 gw \|\|\|\| 00\|\|\| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">15,N06</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">106594490X</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783642422300</subfield><subfield code="c">Pb. : EUR 123.04 (DE) (freier Pr.), EUR 126.49 (AT) (freier Pr.), sfr 153.50 (freier Pr.)</subfield><subfield code="9">978-3-642-42230-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3642422306</subfield><subfield code="9">3-642-42230-6</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9783642422300</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">Best.-Nr.: 978-3-642-42230-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)902883413</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB106594490X</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-BE</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-739</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">004</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Preference Learning</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Softcover re-print of the Hardcover 1st edition 2011</subfield></datafield><datafield tag="263" ind1=" " ind2=" "><subfield code="a">201409</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin</subfield><subfield code="b">Springer Berlin</subfield><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">IX, 466 Seiten</subfield><subfield code="c">235 mm x 155 mm, 724 g</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Gewichtung</subfield><subfield code="0">(DE-588)4343264-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Lerntechnik</subfield><subfield code="0">(DE-588)4074168-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Lerntechnik</subfield><subfield code="0">(DE-588)4074168-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Gewichtung</subfield><subfield code="0">(DE-588)4343264-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fürnkranz, Johannes</subfield><subfield code="0">(DE-588)13598517X</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hüllermeier, Eyke</subfield><subfield code="d">1969-</subfield><subfield code="0">(DE-588)115498370</subfield><subfield code="4">edt</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">X:MVB</subfield><subfield code="q">text/html</subfield><subfield code="u">http://deposit.dnb.de/cgi-bin/dokserv?id=5140925&prov=M&dok_var=1&dok_ext=htm</subfield><subfield code="3">Inhaltstext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung UB Passau - ADAM Catalogue Enrichment</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034310216&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034310216</subfield></datafield></record></collection>
id	DE-604.BV049047805
illustrated	Not Illustrated
indexdate	2024-12-20T19:59:18Z
institution	BVB
isbn	9783642422300 3642422306
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-034310216
oclc_num	902883413
open_access_boolean
owner	DE-739
owner_facet	DE-739
physical	IX, 466 Seiten 235 mm x 155 mm, 724 g
publishDate	2014
publishDateSearch	2014
publishDateSort	2014
publisher	Springer Berlin
record_format	marc
spellingShingle	Preference Learning Gewichtung (DE-588)4343264-5 gnd Lerntechnik (DE-588)4074168-0 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd
subject_GND	(DE-588)4343264-5 (DE-588)4074168-0 (DE-588)4033447-8
title	Preference Learning
title_auth	Preference Learning
title_exact_search	Preference Learning
title_full	Preference Learning
title_fullStr	Preference Learning
title_full_unstemmed	Preference Learning
title_short	Preference Learning
title_sort	preference learning
topic	Gewichtung (DE-588)4343264-5 gnd Lerntechnik (DE-588)4074168-0 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd
topic_facet	Gewichtung Lerntechnik Künstliche Intelligenz
url	http://deposit.dnb.de/cgi-bin/dokserv?id=5140925&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034310216&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT furnkranzjohannes preferencelearning AT hullermeiereyke preferencelearning

Verfügbarkeit

‌

Inhaltsverzeichnis