Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Dawen Liang"'
Autor:
Dawen Liang, Harald Steck
Publikováno v:
RecSys
The recommendation-accuracy of collaborative filtering approaches is typically improved when taking into account higher-order interactions [5, 6, 9, 10, 11, 16, 18, 24, 25, 28, 31, 34, 36, 41, 42, 44]. While deep nonlinear models are theoretically ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0871ed95adce28f8afd995723d23239d
https://doi.org/10.1145/3460231.3474273
https://doi.org/10.1145/3460231.3474273
Publikováno v:
KDD
Machine learning has allowed many systems that we interact with to improve performance and personalize. Recommender systems in particular are one of the largest users of machine learning in production environments that have improved performance of re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d66b1ef3b2cbacf1a403819e15e2d938
https://doi.org/10.1145/3447548.3469447
https://doi.org/10.1145/3447548.3469447
Publikováno v:
WWW
We extend variational autoencoders (VAEs) to collaborative filtering for implicit feedback. This non-linear probabilistic model enables us to go beyond the limited modeling capacity of linear factor models which still largely dominate collaborative f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c669bb4de3ef81bb1e801cec43793db
https://doi.org/10.1145/3178876.3186150
https://doi.org/10.1145/3178876.3186150
Publikováno v:
Computer Music Journal. 38:51-62
Computers have the potential to significantly extend the practice of popular music based on steady tempo and mostly determined form. There are significant challenges to overcome, however, due to constraints including accurate timing based on beats an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28f5f5bb67700a8768066ce01e895d20
https://doi.org/10.1162/comj_a_00239
https://doi.org/10.1162/comj_a_00239
Publikováno v:
Computer Music Journal. 38:36-50
Computers are often used in performance of popular music, but most often in very restricted ways, such as keyboard synthesizers where musicians are in complete control, or pre-recorded or sequenced music where musicians follow the computer's drums or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60112a928ed58edfb756d1c79f8e089c
https://doi.org/10.1162/comj_a_00238
https://doi.org/10.1162/comj_a_00238
Publikováno v:
RecSys
Matrix factorization (MF) models and their extensions are standard in modern recommender systems. MF models decompose the observed user-item interaction matrix into user and item latent factors. In this paper, we propose a co-factorization model, CoF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05fa1dcbb657bb756e977a5193028b19
https://doi.org/10.1145/2959100.2959182
https://doi.org/10.1145/2959100.2959182
Publikováno v:
Chemical Engineering Journal. :88-95
In this study, the tannin-immobilized activated clay (TA-AC) as a spent adsorbent was used to remove Cr(VI) ions from the aqueous solution. The effects of pH, contact time and temperature were investigated in the adsorption experiments. The kinetic p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::383f9e781087fec6d7230715cbf21f9d
https://doi.org/10.1016/j.cej.2012.03.084
https://doi.org/10.1016/j.cej.2012.03.084
Publikováno v:
Comptes Rendus Chimie. 11:125-129
The adsorption of Basic Violet 14 (BV14) from aqueous solution on bentonite was studied with respect to contact time, initial concentration, and presence of selected salts. It was found that the adsorption of BV14 increases with increasing initial BV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27141b8af751ed865699555d51438ce5
https://doi.org/10.1016/j.crci.2007.04.005
https://doi.org/10.1016/j.crci.2007.04.005
[TODO] Add abstract here.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e18a846a999a3df73207abe398fab8d
Autor:
Matt McVicar, Eric Battenberg, Oriol Nieto, Daniel P. W. Ellis, Colin Raffel, Dawen Liang, Brian McFee
Publikováno v:
Proceedings of the 14th Python in Science Conference.
This document describes version 0.4.0 of librosa: a Python pack- age for audio and music signal processing. At a high level, librosa provides implementations of a variety of common functions used throughout the field of music information retrieval. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c62eabc6abbd113bcd5c1a1cc884064c
https://doi.org/10.25080/majora-7b98e3ed-003
https://doi.org/10.25080/majora-7b98e3ed-003