Information theory, inference, and learning algorithms

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: MacKay, David J. C. 1967-2016 (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Cambridge, United Kingdom ; New York, NY, USA Cambridge University Press 2004
Ausgabe:Reprinted with corrections
Schlagworte:
Online-Zugang:Publisher description
Table of contents
Inhaltsverzeichnis
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

MARC

LEADER 00000nam a2200000zc 4500
001 BV019625527
003 DE-604
005 20240227
007 t
008 041208s2004 xxka||| |||| 00||| eng d
020 |a 0521642981  |9 0-521-64298-1 
020 |a 9780521642989  |9 978-0-521-64298-9 
035 |a (OCoLC)55969249 
035 |a (DE-599)BVBBV019625527 
040 |a DE-604  |b ger  |e rda 
041 0 |a eng 
044 |a xxk  |c GB 
049 |a DE-703  |a DE-1051  |a DE-83  |a DE-29T  |a DE-20  |a DE-739  |a DE-523  |a DE-355 
050 0 |a Q360 
082 0 |a 003/.54  |2 21 
084 |a SK 880  |0 (DE-625)143266:  |2 rvk 
084 |a ST 130  |0 (DE-625)143588:  |2 rvk 
084 |a ST 300  |0 (DE-625)143650:  |2 rvk 
084 |a DAT 708f  |2 stub 
100 1 |a MacKay, David J. C.  |d 1967-2016  |e Verfasser  |0 (DE-588)173311342  |4 aut 
245 1 0 |a Information theory, inference, and learning algorithms  |c David J.C. MacKay 
250 |a Reprinted with corrections 
264 1 |a Cambridge, United Kingdom ; New York, NY, USA  |b Cambridge University Press  |c 2004 
300 |a xii, 628 Seiten  |b Illustrationen 
336 |b txt  |2 rdacontent 
337 |b n  |2 rdamedia 
338 |b nc  |2 rdacarrier 
500 |a Hier auch später erschienene, unveränderte Nachdrucke 
650 4 |a Information theory 
650 0 7 |a Inferenz  |g Künstliche Intelligenz  |0 (DE-588)4333533-0  |2 gnd  |9 rswk-swf 
650 0 7 |a Maschinelles Lernen  |0 (DE-588)4193754-5  |2 gnd  |9 rswk-swf 
650 0 7 |a Informationstheorie  |0 (DE-588)4026927-9  |2 gnd  |9 rswk-swf 
689 0 0 |a Informationstheorie  |0 (DE-588)4026927-9  |D s 
689 0 1 |a Inferenz  |g Künstliche Intelligenz  |0 (DE-588)4333533-0  |D s 
689 0 2 |a Maschinelles Lernen  |0 (DE-588)4193754-5  |D s 
689 0 |5 DE-604 
856 4 |u http://www.loc.gov/catdir/description/cam032/2003055133.html  |3 Publisher description 
856 4 |u http://www.loc.gov/catdir/toc/cam031/2003055133.html  |3 Table of contents 
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=012954793&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA  |3 Inhaltsverzeichnis 
999 |a oai:aleph.bib-bvb.de:BVB01-012954793 

Datensatz im Suchindex

_version_ 1804132991574736896
adam_text Contents Preface ............................. v 1 Introduction to Information Theory ............. 3 2 Probability, Entropy, and Inference .............. 22 3 More about Inference ..................... 48 I Data Compression ...................... 65 4 The Source Coding Theorem ................. 67 5 Symbol Codes ......................... 91 6 Stream Codes .......................... 110 7 Codes for Integers ....................... 132 II Noisy-Channel Coding .................... 137 8 Dependent Random Variables ................. 138 9 Communication over a Noisy Channel ............ 146 10 The Noisy-Channel Coding Theorem .............. 162 11 Error-Correcting Codes and Real Channels ......... 177 III Further Topics in Information Theory ............. 191 12 Hash Codes: Codes for Efficient Information Retrieval . . 193 13 Binary Codes ......................... 206 14 Very Good Linear Codes Exist ................ 229 15 Further Exercises on Information Theory .......... 233 16 Message Passing ........................ 241 17 Communication over Constrained Noiseless Channels . . . 248 18 Crosswords and Codebreaking ................ 260 19 Why have Sex? Information Acquisition and Evolution . . 269 IV Probabilities and Inference .................. 281 20 An Example Inference Task: Clustering ........... 284 21 Exact Inference by Complete Enumeration ......... 293 22 Maximum Likelihood and Clustering ............. 300 23 Useful Probability Distributions ............... 311 24 Exact MarginaHzation ..................... 319 25 Exact MarginaHzation in Trellises .............. 324 26 Exact MarginaHzation in Graphs ............... 334 27 Laplace s Method ....................... 341 28 Model Comparison and Occam s Razor ........... 343 29 Monte Carlo Methods ..................... 357 30 Efficient Monte Carlo Methods ................ 387 31 Ising Models .......................... 400 32 Exact Monte Carlo Sampling ................. 413 33 Variational Methods ...................... 422 34 Independent Component Analysis and Latent Variable Mod¬ elling .............................. 437 35 Random Inference Topics ................... 445 36 Decision Theory ........................ 451 37 Bayesian Inference and Sampling Theory .......... 457 V Neural networks ........................ 467 38 Introduction to Neural Networks ............... 468 39 The Single Neuron as a Classifier ............... 471 40 Capacity of a Single Neuron .................. 483 41 Learning as Inference ..................... 492 42 Hopfield Networks ....................... 505 43 Boitzmann Machines ...................... 522 44 Supervised Learning in Multilayer Networks ......... 527 45 Gaussian Processes ...................... 535 46 Deconvolution ......................... 549 VI Sparse Graph Codes ..................... 555 47 Low-Density Parity-Check Codes .............. 557 48 Convolutional Codes and Turbo Codes ............ 574 49 Repeat-Accumulate Codes .................. 582 50 Digital Fountain Codes .................... 589 VII Appendices .......................... 597 A Notation ............................ 598 В Some Physics .......................... 601 С Some Mathematics ....................... 605 Bibliography ............................. 613 Index ................................. 620
any_adam_object 1
author MacKay, David J. C. 1967-2016
author_GND (DE-588)173311342
author_facet MacKay, David J. C. 1967-2016
author_role aut
author_sort MacKay, David J. C. 1967-2016
author_variant d j c m djc djcm
building Verbundindex
bvnumber BV019625527
callnumber-first Q - Science
callnumber-label Q360
callnumber-raw Q360
callnumber-search Q360
callnumber-sort Q 3360
callnumber-subject Q - General Science
classification_rvk SK 880
ST 130
ST 300
classification_tum DAT 708f
ctrlnum (OCoLC)55969249
(DE-599)BVBBV019625527
dewey-full 003/.54
dewey-hundreds 000 - Computer science, information, general works
dewey-ones 003 - Systems
dewey-raw 003/.54
dewey-search 003/.54
dewey-sort 13 254
dewey-tens 000 - Computer science, information, general works
discipline Informatik
Mathematik
edition Reprinted with corrections
format Book
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02210nam a2200505zc 4500</leader><controlfield tag="001">BV019625527</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240227 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">041208s2004 xxka||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0521642981</subfield><subfield code="9">0-521-64298-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780521642989</subfield><subfield code="9">978-0-521-64298-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)55969249</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV019625527</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">xxk</subfield><subfield code="c">GB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-703</subfield><subfield code="a">DE-1051</subfield><subfield code="a">DE-83</subfield><subfield code="a">DE-29T</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-355</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">Q360</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">003/.54</subfield><subfield code="2">21</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 880</subfield><subfield code="0">(DE-625)143266:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 130</subfield><subfield code="0">(DE-625)143588:</subfield><subfield code="2">rvk</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">DAT 708f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">MacKay, David J. C.</subfield><subfield code="d">1967-2016</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)173311342</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Information theory, inference, and learning algorithms</subfield><subfield code="c">David J.C. MacKay</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Reprinted with corrections</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge, United Kingdom ; New York, NY, USA</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2004</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xii, 628 Seiten</subfield><subfield code="b">Illustrationen</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="500" ind1=" " ind2=" "><subfield code="a">Hier auch später erschienene, unveränderte Nachdrucke</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information theory</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Inferenz</subfield><subfield code="g">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4333533-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Informationstheorie</subfield><subfield code="0">(DE-588)4026927-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Informationstheorie</subfield><subfield code="0">(DE-588)4026927-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Inferenz</subfield><subfield code="g">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4333533-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2=" "><subfield code="u">http://www.loc.gov/catdir/description/cam032/2003055133.html</subfield><subfield code="3">Publisher description</subfield></datafield><datafield tag="856" ind1="4" ind2=" "><subfield code="u">http://www.loc.gov/catdir/toc/cam031/2003055133.html</subfield><subfield code="3">Table of contents</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&amp;doc_library=BVB01&amp;local_base=BVB01&amp;doc_number=012954793&amp;sequence=000002&amp;line_number=0001&amp;func_code=DB_RECORDS&amp;service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-012954793</subfield></datafield></record></collection>
id DE-604.BV019625527
illustrated Illustrated
indexdate 2024-07-09T20:01:37Z
institution BVB
isbn 0521642981
9780521642989
language English
oai_aleph_id oai:aleph.bib-bvb.de:BVB01-012954793
oclc_num 55969249
open_access_boolean
owner DE-703
DE-1051
DE-83
DE-29T
DE-20
DE-739
DE-523
DE-355
DE-BY-UBR
owner_facet DE-703
DE-1051
DE-83
DE-29T
DE-20
DE-739
DE-523
DE-355
DE-BY-UBR
physical xii, 628 Seiten Illustrationen
publishDate 2004
publishDateSearch 2004
publishDateSort 2004
publisher Cambridge University Press
record_format marc
spelling MacKay, David J. C. 1967-2016 Verfasser (DE-588)173311342 aut
Information theory, inference, and learning algorithms David J.C. MacKay
Reprinted with corrections
Cambridge, United Kingdom ; New York, NY, USA Cambridge University Press 2004
xii, 628 Seiten Illustrationen
txt rdacontent
n rdamedia
nc rdacarrier
Hier auch später erschienene, unveränderte Nachdrucke
Information theory
Inferenz Künstliche Intelligenz (DE-588)4333533-0 gnd rswk-swf
Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf
Informationstheorie (DE-588)4026927-9 gnd rswk-swf
Informationstheorie (DE-588)4026927-9 s
Inferenz Künstliche Intelligenz (DE-588)4333533-0 s
Maschinelles Lernen (DE-588)4193754-5 s
DE-604
http://www.loc.gov/catdir/description/cam032/2003055133.html Publisher description
http://www.loc.gov/catdir/toc/cam031/2003055133.html Table of contents
Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=012954793&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle MacKay, David J. C. 1967-2016
Information theory, inference, and learning algorithms
Information theory
Inferenz Künstliche Intelligenz (DE-588)4333533-0 gnd
Maschinelles Lernen (DE-588)4193754-5 gnd
Informationstheorie (DE-588)4026927-9 gnd
subject_GND (DE-588)4333533-0
(DE-588)4193754-5
(DE-588)4026927-9
title Information theory, inference, and learning algorithms
title_auth Information theory, inference, and learning algorithms
title_exact_search Information theory, inference, and learning algorithms
title_full Information theory, inference, and learning algorithms David J.C. MacKay
title_fullStr Information theory, inference, and learning algorithms David J.C. MacKay
title_full_unstemmed Information theory, inference, and learning algorithms David J.C. MacKay
title_short Information theory, inference, and learning algorithms
title_sort information theory inference and learning algorithms
topic Information theory
Inferenz Künstliche Intelligenz (DE-588)4333533-0 gnd
Maschinelles Lernen (DE-588)4193754-5 gnd
Informationstheorie (DE-588)4026927-9 gnd
topic_facet Information theory
Inferenz Künstliche Intelligenz
Maschinelles Lernen
Informationstheorie
url http://www.loc.gov/catdir/description/cam032/2003055133.html
http://www.loc.gov/catdir/toc/cam031/2003055133.html
http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=012954793&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv AT mackaydavidjc informationtheoryinferenceandlearningalgorithms