Computational learning theory and natural learning systems: 2 Intersections between theory and experiment
Gespeichert in:
Format: | Buch |
---|---|
Sprache: | English |
Veröffentlicht: |
Cambridge, Mass. u.a.
MIT Press
1994
|
Schriftenreihe: | A Bradford book
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XXIII, 449 S. graph. Darst. |
ISBN: | 0262581337 |
Internformat
MARC
LEADER | 00000nam a2200000 cc4500 | ||
---|---|---|---|
001 | BV009774871 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | t | ||
008 | 940825s1994 d||| |||| 10||| eng d | ||
020 | |a 0262581337 |9 0-262-58133-7 | ||
035 | |a (OCoLC)311930923 | ||
035 | |a (DE-599)BVBBV009774871 | ||
040 | |a DE-604 |b ger |e rakddb | ||
041 | 0 | |a eng | |
049 | |a DE-20 |a DE-29T |a DE-91G |a DE-739 |a DE-634 |a DE-11 | ||
084 | |a ST 304 |0 (DE-625)143653: |2 rvk | ||
245 | 1 | 0 | |a Computational learning theory and natural learning systems |n 2 |p Intersections between theory and experiment |c ed. by Stephen José Hanson ... |
264 | 1 | |a Cambridge, Mass. u.a. |b MIT Press |c 1994 | |
300 | |a XXIII, 449 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a A Bradford book | |
650 | 0 | 7 | |a Mathematische Lerntheorie |0 (DE-588)4169103-9 |2 gnd |9 rswk-swf |
655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |2 gnd-content | |
689 | 0 | 0 | |a Mathematische Lerntheorie |0 (DE-588)4169103-9 |D s |
689 | 0 | |5 DE-604 | |
700 | 1 | |a Hanson, Stephen J. |e Sonstige |4 oth | |
773 | 0 | 8 | |w (DE-604)BV009700800 |g 2 |
856 | 4 | 2 | |m Digitalisierung TU Muenchen |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006467322&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
999 | |a oai:aleph.bib-bvb.de:BVB01-006467322 |
Datensatz im Suchindex
_version_ | 1804124123258945536 |
---|---|
adam_text | Contents
Preface
ix
Introduction
xi
List of Contributors
xvii
I Learning Theory
1
Bayes
Decisions in a Neural
Network-PAC
Setting
3
Svetlana
Anulova, Jorge R. Cuellar, Klaus-U.
Höffgen
and
Hans-U. Simon
2
Average Case Analysis of fc-CNF and fc-DNF Learning
Algorithms
15
Daniel S.
Hirschberg,
Michael J. Pazzani and Kamal M.
Ali
3
Filter Likelihoods and Exhaustive Learning
29
David H. Wolpert
II Model Selection and Inductive Bias
4
Incorporating Prior Knowledge into Networks of
Locally-Tuned Units
53
Martin
Röscheisen,
Reimar
Hofmann
and
Volker
Tresp
5
Using Knowledge-Based Neural Networks to Refine
Roughly-Correct Information
65
Geoffrey G. Towell and
Jude
W.
Shavlik
6
Sensitivity Constraints in Learning
81
Scott H. Clearwater and Yongwon Lee
7
Evaluation of Learning Biases Using Probabilistic
Domain Knowledge
97
Marie desJardins
8
Detecting Structure in Small
Datasets
by Network
Fitting under Complexity Constraints
113
W. Finnoff and H.G.
Zimmermann
Contents
9
Associative Methods in Reinforcement Learning: An
Empirical Study
133
Leslie Pack Kaelbling
III Learning Algorithms
10
A Schema for Using Multiple Knowledge
157
Matjaž
Gams,
Marko Bohanec
and
Bojan Cestnik
11
Probabilistic Hill-Climbing
171
William W. Cohen, Russell Greiner and Dale Schuurmans
12
Prototype Selection Using Competitive Learning
183
Michael
Lemmon
13
Learning with Instance-Based Encodings
205
Henry Tirri
14
Contrastive
Learning with Graded Random Networks
215
Javier R. Movellan and James L. McClelland
15
Probability Density Estimation and Local Basis
Function Neural Networks
233
Padhraic Smyth
IV Dynamics of Learning
16
Hamiltonian Dynamics of Neural Networks
251
Ulrich Ramacher
17
Learning Properties of Multi-Layer Perceptrons with
and without Feedback
279
D. Gawronska, B.
Schürmann
and J. Hollatz
Contents
vii
V Applications
18
Unsupervised Learning for
Mobile Robot
Navigation
Using Probabilistic Data Association
297
Ingemar
J.
Cox and John J. Leonard
19
Evolution of a Subsumption Architecture that
Performs a Wall Following Task for an Autonomous
Mobile Robot
321
John
R. Koza
20
A Connectionist Model of the Learning of Personal
Pronouns in English
347
Thomas R. Shultz, David Buckingham and Yuriko
Oshima-Takane
21
Neural Network Modeling of Physiological Processes
363
Volker
Tresp, John Moody and
Wolf-Rüdiger Delong
22
Projection Pursuit Learning: Some Theoretical Issues
379
Ying Zhao and Christopher G. Atkeson
23
A Comparative Study of the Kohonen Self-Organizing
Map and the Elastic Net
401
Yiu-fai Wong
References
415
Index
447
|
any_adam_object | 1 |
building | Verbundindex |
bvnumber | BV009774871 |
classification_rvk | ST 304 |
ctrlnum | (OCoLC)311930923 (DE-599)BVBBV009774871 |
discipline | Informatik |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01449nam a2200349 cc4500</leader><controlfield tag="001">BV009774871</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">940825s1994 d||| |||| 10||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0262581337</subfield><subfield code="9">0-262-58133-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)311930923</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV009774871</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-20</subfield><subfield code="a">DE-29T</subfield><subfield code="a">DE-91G</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-634</subfield><subfield code="a">DE-11</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 304</subfield><subfield code="0">(DE-625)143653:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Computational learning theory and natural learning systems</subfield><subfield code="n">2</subfield><subfield code="p">Intersections between theory and experiment</subfield><subfield code="c">ed. by Stephen José Hanson ...</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge, Mass. u.a.</subfield><subfield code="b">MIT Press</subfield><subfield code="c">1994</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XXIII, 449 S.</subfield><subfield code="b">graph. Darst.</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="490" ind1="0" ind2=" "><subfield code="a">A Bradford book</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Mathematische Lerntheorie</subfield><subfield code="0">(DE-588)4169103-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Mathematische Lerntheorie</subfield><subfield code="0">(DE-588)4169103-9</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">Hanson, Stephen J.</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="w">(DE-604)BV009700800</subfield><subfield code="g">2</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung TU Muenchen</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=006467322&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-006467322</subfield></datafield></record></collection> |
genre | (DE-588)1071861417 Konferenzschrift gnd-content |
genre_facet | Konferenzschrift |
id | DE-604.BV009774871 |
illustrated | Illustrated |
indexdate | 2024-07-09T17:40:39Z |
institution | BVB |
isbn | 0262581337 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006467322 |
oclc_num | 311930923 |
open_access_boolean | |
owner | DE-20 DE-29T DE-91G DE-BY-TUM DE-739 DE-634 DE-11 |
owner_facet | DE-20 DE-29T DE-91G DE-BY-TUM DE-739 DE-634 DE-11 |
physical | XXIII, 449 S. graph. Darst. |
publishDate | 1994 |
publishDateSearch | 1994 |
publishDateSort | 1994 |
publisher | MIT Press |
record_format | marc |
series2 | A Bradford book |
spelling | Computational learning theory and natural learning systems 2 Intersections between theory and experiment ed. by Stephen José Hanson ... Cambridge, Mass. u.a. MIT Press 1994 XXIII, 449 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier A Bradford book Mathematische Lerntheorie (DE-588)4169103-9 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content Mathematische Lerntheorie (DE-588)4169103-9 s DE-604 Hanson, Stephen J. Sonstige oth (DE-604)BV009700800 2 Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006467322&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Computational learning theory and natural learning systems Mathematische Lerntheorie (DE-588)4169103-9 gnd |
subject_GND | (DE-588)4169103-9 (DE-588)1071861417 |
title | Computational learning theory and natural learning systems |
title_auth | Computational learning theory and natural learning systems |
title_exact_search | Computational learning theory and natural learning systems |
title_full | Computational learning theory and natural learning systems 2 Intersections between theory and experiment ed. by Stephen José Hanson ... |
title_fullStr | Computational learning theory and natural learning systems 2 Intersections between theory and experiment ed. by Stephen José Hanson ... |
title_full_unstemmed | Computational learning theory and natural learning systems 2 Intersections between theory and experiment ed. by Stephen José Hanson ... |
title_short | Computational learning theory and natural learning systems |
title_sort | computational learning theory and natural learning systems intersections between theory and experiment |
topic | Mathematische Lerntheorie (DE-588)4169103-9 gnd |
topic_facet | Mathematische Lerntheorie Konferenzschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006467322&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV009700800 |
work_keys_str_mv | AT hansonstephenj computationallearningtheoryandnaturallearningsystems2 |