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pro vyhledávání: '"Ehmann, Andreas F."'
Next-item recommender systems are often trained using only positive feedback with randomly-sampled negative feedback. We show the benefits of using real negative feedback both as inputs into the user sequence and also as negative targets for training
Externí odkaz:
http://arxiv.org/abs/2406.04488
Autor:
McCallum, Matthew C., Korzeniowski, Filip, Oramas, Sergio, Gouyon, Fabien, Ehmann, Andreas F.
In this work, we provide a broad comparative analysis of strategies for pre-training audio understanding models for several tasks in the music domain, including labelling of genre, era, origin, mood, instrumentation, key, pitch, vocal characteristics
Externí odkaz:
http://arxiv.org/abs/2210.03799
Autor:
Prockup, Matthew, Ehmann, Andreas F., Gouyon, Fabien, Schmidt, Erik M., Òscar Celma, Youngmoo E. Kim
[TODO] Add abstract here.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd538057c19b91cc4f73b51da1bb534a
[TODO] Add abstract here.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a074cddd2ac9ce2408e0ed9d18d1a62b
[TODO] Add abstract here.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b09a4cb0ee8c319d9e276582389b3adc
This paper is an extended abstract which provides a brief preliminary overview of the 2005 Music Information Retrieval Evaluation eXchange (MIREX 2005). The MIREX organizational framework and infrastructure are outlined. Summary data concerning the 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cdc9353e2010bf233060e0fbe230215
Publikováno v:
2015 IEEE Workshop on Applications of Signal Processing to Audio & Acoustics (WASPAA); 2015, p1-5, 5p
Publikováno v:
Advances in Music Information Retrieval; 2010, p93-115, 23p
Akademický článek
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