Concepedia

Machine Learning For Composition

Machine Learning for Composition is an academic concept referring to a computational methodology that applies machine learning techniques to the generation, transformation, or structuring of musical or symbolic sequences within the domain of algorithmic composition, distinguished by its reliance on data-driven models to learn patterns and rules from musical corpora rather than relying solely on predefined algorithmic or rule-based systems.

92

Publications

5.9K

Citations

227

Authors

104

Institutions

Publications per year

2017–2026

51

Parents

Publications

92

“compositions”: A unified R package to analyze compositional data

K. Gerald van den Boogaart, Raimon Tolosana‐Delgado · Computers & Geosciences · 2007 · 624 citations

, , +9

Emergence of Grounded Compositional Language in Multi-Agent Populations

Igor Mordatch, Pieter Abbeel · Proceedings of the AAAI Conference on Artificial Intelligence · 2018 · 427 citations · Full text

, , +15

Machine learning assisted composition effective design for precipitation strengthened copper alloys

Hongtao Zhang, Huadong Fu, Shuaicheng Zhu et al. · Acta Materialia · 2021 · 245 citations

, , +16

From Red Wine to Red Tomato: Composition with Context

Ishan Misra, Abhinav Gupta, Martial Hebert · 2017 · 244 citations

, , +12

Neurocomputations in relational systems

Witold Pedrycz · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1991 · 215 citations

, , +16

1–5 of 92

Authors

227

  1. BL
    Bob L. Sturm

    Aalborg University, Denmark

    4 publications · 276 citations

    4

    h-index

  2. OB
    Oded Ben‐Tal

    Kingston University, United Kingdom

    4 publications · 276 citations

    4

    h-index

  3. GA
    Geraínt A. Wiggins

    Goldsmiths University of London, United Kingdom

    3 publications · 279 citations

    3

    h-index

  4. MB
    Marco Baroni

    University of Trento, Italy

    3 publications · 272 citations

    3

    h-index

  5. KG
    K. Gerald van den Boogaart

    Helmholtz Institute Freiberg for Resource Technology, Germany

    2 publications · 649 citations

    2

    h-index

1–5 of 227

Institutions

104

  1. Queen Mary University of London

    London, United Kingdom

    4 h-index

    7 publications

    261 citations

  2. University of Science and Technology Beijing

    Beijing, China

    3 h-index

    14 publications

    1.4K citations

  3. University of California, Berkeley

    Berkeley, United States

    3 h-index

    3 publications

    723 citations

  4. Google (United States)

    Mountain View, United States

    3 h-index

    15 publications

    514 citations

  5. Communication University of China

    Beijing, China

    3 h-index

    7 publications

    239 citations

  6. National Chung Cheng University

    Minxiong, Taiwan

    2 h-index

    3 publications

    176 citations

  7. OpenAI (United States)

    San Francisco, United States

    2 h-index

    2 publications

    641 citations

  8. Berkeley College

    New York, United States

    2 h-index

    2 publications

    641 citations

1–8 of 104

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 676 citations

    11

    h-index

  2. Applied Soft Computing

    2 publications · 110 citations

    3

    h-index

  3. IEEE Access

    3 publications · 82 citations

    3

    h-index

  4. Journal of New Music Research

    2 publications · 148 citations

    2

    h-index

  5. Computational Materials Science

    2 publications · 36 citations

    2

    h-index

1–5