Variational Methods for Machine Learning with Applications to Deep Networks:
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2021
Cham Springer |
| Edition: | 1st ed. 2021 |
| Subjects: | |
| Online Access: | BTU01 FAB01 FAW01 FCO01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBY01 UER01 Volltext |
| Physical Description: | 1 Online-Ressource (XIV, 165 p. 54 illus., 33 illus. in color) |
| ISBN: | 9783030706791 |
| DOI: | 10.1007/978-3-030-70679-1 |
Staff View
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV047316975 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 210609s2021 |||| o||u| ||||||eng d | ||
| 020 | |a 9783030706791 |c Online |9 978-3-030-70679-1 | ||
| 024 | 7 | |a 10.1007/978-3-030-70679-1 |2 doi | |
| 035 | |a (ZDB-2-ENG)9783030706791 | ||
| 035 | |a (OCoLC)1256424040 | ||
| 035 | |a (DE-599)BVBBV047316975 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-859 |a DE-860 |a DE-91 |a DE-858 |a DE-1046 |a DE-1043 |a DE-Aug4 |a DE-898 |a DE-861 |a DE-523 |a DE-29 |a DE-863 |a DE-1050 |a DE-862 |a DE-92 |a DE-573 |a DE-M347 |a DE-706 |a DE-634 | ||
| 082 | 0 | |a 621.382 |2 23 | |
| 084 | |a MAS 000 |2 stub | ||
| 084 | |a ELT 000 |2 stub | ||
| 100 | 1 | |a Cinelli, Lucas Pinheiro |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Variational Methods for Machine Learning with Applications to Deep Networks |c by Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, Sérgio Lima Netto |
| 250 | |a 1st ed. 2021 | ||
| 264 | 1 | |a Cham |b Springer International Publishing |c 2021 | |
| 264 | 1 | |a Cham |b Springer | |
| 300 | |a 1 Online-Ressource (XIV, 165 p. 54 illus., 33 illus. in color) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 650 | 4 | |a Communications Engineering, Networks | |
| 650 | 4 | |a Machine Learning | |
| 650 | 4 | |a Computational Intelligence | |
| 650 | 4 | |a Data Mining and Knowledge Discovery | |
| 650 | 4 | |a Electrical engineering | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Computational intelligence | |
| 650 | 4 | |a Data mining | |
| 700 | 1 | |a Marins, Matheus Araújo |4 aut | |
| 700 | 1 | |a Barros da Silva, Eduardo Antônio |4 aut | |
| 700 | 1 | |a Netto, Sérgio Lima |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-030-70678-4 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-030-70680-7 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-030-70681-4 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-030-70679-1 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-2-ENG | ||
| 940 | 1 | |q ZDB-2-ENG_2021_Fremddaten | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032719813 | ||
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l BTU01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FAB01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FAW01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FCO01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FHA01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FHD01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FHI01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FHM01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FHN01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FHR01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FKE01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FLA01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FRO01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FWS01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l FWS02 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l HTW01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l TUM01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l UBY01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-3-030-70679-1 |l UER01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
Record in the Search Index
| DE-BY-FWS_katkey | 910887 |
|---|---|
| _version_ | 1824555095107305472 |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Cinelli, Lucas Pinheiro Marins, Matheus Araújo Barros da Silva, Eduardo Antônio Netto, Sérgio Lima |
| author_facet | Cinelli, Lucas Pinheiro Marins, Matheus Araújo Barros da Silva, Eduardo Antônio Netto, Sérgio Lima |
| author_role | aut aut aut aut |
| author_sort | Cinelli, Lucas Pinheiro |
| author_variant | l p c lp lpc m a m ma mam d s e a b dsea dseab s l n sl sln |
| building | Verbundindex |
| bvnumber | BV047316975 |
| classification_tum | MAS 000 ELT 000 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)9783030706791 (OCoLC)1256424040 (DE-599)BVBBV047316975 |
| dewey-full | 621.382 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.382 |
| dewey-search | 621.382 |
| dewey-sort | 3621.382 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik Maschinenbau |
| discipline_str_mv | Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik Maschinenbau |
| doi_str_mv | 10.1007/978-3-030-70679-1 |
| edition | 1st ed. 2021 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03937nmm a2200769zc 4500</leader><controlfield tag="001">BV047316975</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210609s2021 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783030706791</subfield><subfield code="c">Online</subfield><subfield code="9">978-3-030-70679-1</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-3-030-70679-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-ENG)9783030706791</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1256424040</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047316975</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="049" ind1=" " ind2=" "><subfield code="a">DE-859</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-858</subfield><subfield code="a">DE-1046</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">621.382</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAS 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ELT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Cinelli, Lucas Pinheiro</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Variational Methods for Machine Learning with Applications to Deep Networks</subfield><subfield code="c">by Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, Sérgio Lima Netto</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed. 2021</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer International Publishing</subfield><subfield code="c">2021</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham</subfield><subfield code="b">Springer</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XIV, 165 p. 54 illus., 33 illus. in color)</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">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Communications Engineering, Networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine Learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Mining and Knowledge Discovery</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electrical engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Marins, Matheus Araújo</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Barros da Silva, Eduardo Antônio</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Netto, Sérgio Lima</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-030-70678-4</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-030-70680-7</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-030-70681-4</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-ENG</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-ENG_2021_Fremddaten</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032719813</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FAB01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FAW01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FCO01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FHA01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FHD01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FHM01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FHR01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FKE01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FLA01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FRO01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">HTW01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">TUM01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-3-030-70679-1</subfield><subfield code="l">UER01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047316975 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T17:27:44Z |
| indexdate | 2025-02-20T07:02:12Z |
| institution | BVB |
| isbn | 9783030706791 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032719813 |
| oclc_num | 1256424040 |
| open_access_boolean | |
| owner | DE-859 DE-860 DE-91 DE-BY-TUM DE-858 DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-29 DE-863 DE-BY-FWS DE-1050 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-706 DE-634 |
| owner_facet | DE-859 DE-860 DE-91 DE-BY-TUM DE-858 DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-29 DE-863 DE-BY-FWS DE-1050 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-706 DE-634 |
| physical | 1 Online-Ressource (XIV, 165 p. 54 illus., 33 illus. in color) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2021_Fremddaten |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Springer International Publishing Springer |
| record_format | marc |
| spellingShingle | Cinelli, Lucas Pinheiro Marins, Matheus Araújo Barros da Silva, Eduardo Antônio Netto, Sérgio Lima Variational Methods for Machine Learning with Applications to Deep Networks Communications Engineering, Networks Machine Learning Computational Intelligence Data Mining and Knowledge Discovery Electrical engineering Machine learning Computational intelligence Data mining |
| title | Variational Methods for Machine Learning with Applications to Deep Networks |
| title_auth | Variational Methods for Machine Learning with Applications to Deep Networks |
| title_exact_search | Variational Methods for Machine Learning with Applications to Deep Networks |
| title_exact_search_txtP | Variational Methods for Machine Learning with Applications to Deep Networks |
| title_full | Variational Methods for Machine Learning with Applications to Deep Networks by Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, Sérgio Lima Netto |
| title_fullStr | Variational Methods for Machine Learning with Applications to Deep Networks by Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, Sérgio Lima Netto |
| title_full_unstemmed | Variational Methods for Machine Learning with Applications to Deep Networks by Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, Sérgio Lima Netto |
| title_short | Variational Methods for Machine Learning with Applications to Deep Networks |
| title_sort | variational methods for machine learning with applications to deep networks |
| topic | Communications Engineering, Networks Machine Learning Computational Intelligence Data Mining and Knowledge Discovery Electrical engineering Machine learning Computational intelligence Data mining |
| topic_facet | Communications Engineering, Networks Machine Learning Computational Intelligence Data Mining and Knowledge Discovery Electrical engineering Machine learning Computational intelligence Data mining |
| url | https://doi.org/10.1007/978-3-030-70679-1 |
| work_keys_str_mv | AT cinellilucaspinheiro variationalmethodsformachinelearningwithapplicationstodeepnetworks AT marinsmatheusaraujo variationalmethodsformachinelearningwithapplicationstodeepnetworks AT barrosdasilvaeduardoantonio variationalmethodsformachinelearningwithapplicationstodeepnetworks AT nettosergiolima variationalmethodsformachinelearningwithapplicationstodeepnetworks |