Machine Learning vs Human Learning

Jaak Henno; Hannu Jaakkola; Jukka Mäkelä

doi:10.23919/MIPRO52101.2021.9596771

Machine Learning vs Human Learning

Jaak Henno, Hannu Jaakkola, Jukka Mäkelä

Yhteiskuntatieteiden tiedekunta

Tutkimustuotokset: Kirjoitus kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

3 Sitaatiot (Scopus)

Abstrakti

Machine Learning (ML) is a technology to make messages created by humans (, images, speech etc.) more understandable for computers so that they could better answer humans' queries and needs when recalling this information. Here is considered the ML sub-area - Natural Language Processing (NLP) and presented examples of its methods using corpuses created from MiproCE presentations.

Alkuperäiskieli	englanti
Otsikko	MIPRO 2021 - 44th International Convention on Information, Communication and Electronic Technology
Toimittajat	Marco Koricic, Karolj Skala, Zeljka Car, Marina Cicin-Sain, Snjezana Babic, Vlado Sruk, Dejan Skvorc, Slobodan Ribaric, Bojan Jerbic, Stjepan Gros, Boris Vrdoljak, Mladen Mauher, Edvard Tijan, Tihomir Katulic, Juraj Petrovic, Tihana Galinac Grbac, Nikola Filip Fijan, Vera Gradisnik
Kustantaja	IEEE
Sivut	542-548
Sivumäärä	7
ISBN (elektroninen)	978-953-233-101-1
DOI - pysyväislinkit	https://doi.org/10.23919/MIPRO52101.2021.9596771
Tila	Julkaistu - 2021
OKM-julkaisutyyppi	A4 Vertaisarvioitu artikkelil konferenssijulkaisussa
Tapahtuma	44th International Convention on Information, Communication and Electronic Technology, MIPRO 2021 - Opatija, Kroatia Kesto: 27 syysk. 2021 → 1 lokak. 2021

Konferenssi

Konferenssi	44th International Convention on Information, Communication and Electronic Technology, MIPRO 2021
Maa/Alue	Kroatia
Kaupunki	Opatija
Ajanjakso	27.09.2021 → 01.10.2021

Tieteenala

Tietojenkäsittely- ja informaatiotieteet

Pääsy tutkimustuotokseen

10.23919/MIPRO52101.2021.9596771

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Viite tähän julkaisuun

Henno, J., Jaakkola, H., & Mäkelä, J. (2021). Machine Learning vs Human Learning. teoksessa M. Koricic, K. Skala, Z. Car, M. Cicin-Sain, S. Babic, V. Sruk, D. Skvorc, S. Ribaric, B. Jerbic, S. Gros, B. Vrdoljak, M. Mauher, E. Tijan, T. Katulic, J. Petrovic, T. G. Grbac, N. F. Fijan, & V. Gradisnik (Toimittajat), MIPRO 2021 - 44th International Convention on Information, Communication and Electronic Technology (Sivut 542-548). IEEE. https://doi.org/10.23919/MIPRO52101.2021.9596771

Henno, Jaak ; Jaakkola, Hannu ; Mäkelä, Jukka. / Machine Learning vs Human Learning. MIPRO 2021 - 44th International Convention on Information, Communication and Electronic Technology. Toimittaja / Marco Koricic ; Karolj Skala ; Zeljka Car ; Marina Cicin-Sain ; Snjezana Babic ; Vlado Sruk ; Dejan Skvorc ; Slobodan Ribaric ; Bojan Jerbic ; Stjepan Gros ; Boris Vrdoljak ; Mladen Mauher ; Edvard Tijan ; Tihomir Katulic ; Juraj Petrovic ; Tihana Galinac Grbac ; Nikola Filip Fijan ; Vera Gradisnik. IEEE, 2021. Sivut 542-548

@inproceedings{ba7d14ebdc304b7c8381e96b9fc57dea,

title = "Machine Learning vs Human Learning",

abstract = "Machine Learning (ML) is a technology to make messages created by humans (, images, speech etc.) more understandable for computers so that they could better answer humans' queries and needs when recalling this information. Here is considered the ML sub-area - Natural Language Processing (NLP) and presented examples of its methods using corpuses created from MiproCE presentations. ",

keywords = "education, ML, NLP, teaching",

author = "Jaak Henno and Hannu Jaakkola and Jukka M{\"a}kel{\"a}",

note = "Publisher Copyright: {\textcopyright} 2021 Croatian Society MIPRO.; 44th International Convention on Information, Communication and Electronic Technology, MIPRO 2021 ; Conference date: 27-09-2021 Through 01-10-2021",

year = "2021",

doi = "10.23919/MIPRO52101.2021.9596771",

language = "English",

pages = "542--548",

editor = "Marco Koricic and Karolj Skala and Zeljka Car and Marina Cicin-Sain and Snjezana Babic and Vlado Sruk and Dejan Skvorc and Slobodan Ribaric and Bojan Jerbic and Stjepan Gros and Boris Vrdoljak and Mladen Mauher and Edvard Tijan and Tihomir Katulic and Juraj Petrovic and Grbac, {Tihana Galinac} and Fijan, {Nikola Filip} and Vera Gradisnik",

booktitle = "MIPRO 2021 - 44th International Convention on Information, Communication and Electronic Technology",

publisher = "IEEE",

address = "United States",

}

Henno, J, Jaakkola, H & Mäkelä, J 2021, Machine Learning vs Human Learning. julkaisussa M Koricic, K Skala, Z Car, M Cicin-Sain, S Babic, V Sruk, D Skvorc, S Ribaric, B Jerbic, S Gros, B Vrdoljak, M Mauher, E Tijan, T Katulic, J Petrovic, TG Grbac, NF Fijan & V Gradisnik (toim), MIPRO 2021 - 44th International Convention on Information, Communication and Electronic Technology. IEEE, Sivut 542-548, 44th International Convention on Information, Communication and Electronic Technology, MIPRO 2021, Opatija, Kroatia, 27.09.2021. https://doi.org/10.23919/MIPRO52101.2021.9596771

Machine Learning vs Human Learning. / Henno, Jaak; Jaakkola, Hannu; Mäkelä, Jukka.
MIPRO 2021 - 44th International Convention on Information, Communication and Electronic Technology. toim. / Marco Koricic; Karolj Skala; Zeljka Car; Marina Cicin-Sain; Snjezana Babic; Vlado Sruk; Dejan Skvorc; Slobodan Ribaric; Bojan Jerbic; Stjepan Gros; Boris Vrdoljak; Mladen Mauher; Edvard Tijan; Tihomir Katulic; Juraj Petrovic; Tihana Galinac Grbac; Nikola Filip Fijan; Vera Gradisnik. IEEE, 2021. s. 542-548.

Tutkimustuotokset: Kirjoitus kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Machine Learning vs Human Learning

AU - Henno, Jaak

AU - Jaakkola, Hannu

AU - Mäkelä, Jukka

PY - 2021

Y1 - 2021

N2 - Machine Learning (ML) is a technology to make messages created by humans (, images, speech etc.) more understandable for computers so that they could better answer humans' queries and needs when recalling this information. Here is considered the ML sub-area - Natural Language Processing (NLP) and presented examples of its methods using corpuses created from MiproCE presentations.

AB - Machine Learning (ML) is a technology to make messages created by humans (, images, speech etc.) more understandable for computers so that they could better answer humans' queries and needs when recalling this information. Here is considered the ML sub-area - Natural Language Processing (NLP) and presented examples of its methods using corpuses created from MiproCE presentations.

KW - education

KW - ML

KW - NLP

KW - teaching

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U2 - 10.23919/MIPRO52101.2021.9596771

DO - 10.23919/MIPRO52101.2021.9596771

M3 - Conference contribution

AN - SCOPUS:85123057790

SP - 542

EP - 548

BT - MIPRO 2021 - 44th International Convention on Information, Communication and Electronic Technology

A2 - Koricic, Marco

A2 - Skala, Karolj

A2 - Car, Zeljka

A2 - Cicin-Sain, Marina

A2 - Babic, Snjezana

A2 - Sruk, Vlado

A2 - Skvorc, Dejan

A2 - Ribaric, Slobodan

A2 - Jerbic, Bojan

A2 - Gros, Stjepan

A2 - Vrdoljak, Boris

A2 - Mauher, Mladen

A2 - Tijan, Edvard

A2 - Katulic, Tihomir

A2 - Petrovic, Juraj

A2 - Grbac, Tihana Galinac

A2 - Fijan, Nikola Filip

A2 - Gradisnik, Vera

PB - IEEE

T2 - 44th International Convention on Information, Communication and Electronic Technology, MIPRO 2021

Y2 - 27 September 2021 through 1 October 2021

ER -

Henno J, Jaakkola H, Mäkelä J. Machine Learning vs Human Learning. julkaisussa Koricic M, Skala K, Car Z, Cicin-Sain M, Babic S, Sruk V, Skvorc D, Ribaric S, Jerbic B, Gros S, Vrdoljak B, Mauher M, Tijan E, Katulic T, Petrovic J, Grbac TG, Fijan NF, Gradisnik V, toimittajat, MIPRO 2021 - 44th International Convention on Information, Communication and Electronic Technology. IEEE. 2021. s. 542-548 doi: 10.23919/MIPRO52101.2021.9596771

Machine Learning vs Human Learning

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Konferenssi

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