Holger Fröning | Akateeminen Kirjakauppa

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IOT STREAMS FOR DATA-DRIVEN PREDICTIVE MAINTENANCE AND IOT, EDGE, AND MOBILE FOR EMBEDDED MACHINE LEARNING : SECOND INTERNATIONA

Joao Gama (ed.); Sepideh Pashami (ed.); Albert Bifet (ed.); Moamar Sayed-Mouchawe (ed.); Holger Fröning (ed.); Fr Pernkopf
Springer (2021)
Pehmeäkantinen kirja

83,40 €

MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES - INTERNATIONAL WORKSHOPS OF ECML PKDD 2022, GR

Irena Koprinska; Paolo Mignone; Riccardo Guidotti; Szymon Jaroszewicz; Holger Fröning; Francesco Gullo; Pedro M. Ferreira
Springer International Publishing AG (2023)
Pehmeäkantinen kirja

107,50 €

MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES - INTERNATIONAL WORKSHOPS OF ECML PKDD 2022, GR

Irena Koprinska; Paolo Mignone; Riccardo Guidotti; Szymon Jaroszewicz; Holger Fröning; Francesco Gullo; Pedro M. Ferreira
Springer International Publishing AG (2023)
Pehmeäkantinen kirja

78,60 €

IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning : Second Internationa

Joao Gama (ed.), Sepideh Pashami (ed.), Albert Bifet (ed.), Moamar Sayed-Mouchawe (ed.), Holger Fröning (ed.), Fr Pernkopf

83,40 €

Springer
Sivumäärä: 310 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2021, 10.01.2021 (lisätietoa)
Kieli: Englanti
Tuotesarja: Communications in Computer and Information Science 1325

This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online.

The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization.

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