Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jean-François Paiement"'
Publikováno v:
Information Systems Research.
This work addresses the problem of “user disambiguation”—estimating the likelihood of each member of a small group using a shared account or device. The specific focus is on television set-top box (STB) viewership data in multiperson households
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76a8ae719152815b80df01ff14f32b20
https://doi.org/10.1287/isre.2023.1204
https://doi.org/10.1287/isre.2023.1204
Publikováno v:
Connection Science
Connection Science, Taylor & Francis, 2009, 21 (2-3), pp.253-272. ⟨10.1080/09540090902733806⟩
Connection Science, Taylor & Francis, 2009, 21 (2-3), pp.253-272. ⟨10.1080/09540090902733806⟩
International audience; Modelling long-term dependencies in time series has proved very difficult to achieve with traditional machine-learning methods. This problem occurs when considering music data. In this paper, we introduce predictive models for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3781ba645679e7a8e913f5241f687669
https://doi.org/10.1080/09540090902733806
https://doi.org/10.1080/09540090902733806
Publikováno v:
SIGIR
Vertical aggregation is the task of incorporating results from specialized search engines or verticals (e.g., images, video, news) into Web search results. Vertical selection is the subtask of deciding, given a query, which verticals, if any, are rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::870ae52192133a607a4f476ae969d0be
https://doi.org/10.1145/1835449.1835564
https://doi.org/10.1145/1835449.1835564
Autor:
Yoshua Bengio, Olivier Delalleau, Marie Claude Ouimet, Jean-François Paiement, Nicolas Le Roux, Pascal Vincent
Publikováno v:
Feature Extraction ISBN: 9783540354871
Feature Extraction
Feature Extraction
In this chapter, we study and put under a common framework a number of non-linear dimensionality reduction methods, such as Locally Linear Embedding, Isomap, Laplacian eigenmaps and kernel PCA, which are based on performing an eigen-decomposition (he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3762db189f70e801ce95a3358b2059c
https://doi.org/10.1007/978-3-540-35488-8_28
https://doi.org/10.1007/978-3-540-35488-8_28
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783540220046
Canadian Conference on AI
Canadian Conference on AI
We propose a representation for musical chords that allows us to include domain knowledge in probabilistic models. We then introduce a graphical model for harmonization of melodies that considers every structural components in chord notation. We show
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dca790e28e2ff974fb7defaad7111442
https://doi.org/10.1007/11766247_19
https://doi.org/10.1007/11766247_19
Autor:
Nicolas Le Roux, Yoshua Bengio, Olivier Delalleau, Pascal Vincent, Marie Ouimet, Jean-François Paiement
Publikováno v:
Neural computation. 16(10)
In this letter, we show a direct relation between spectral embedding methods and kernel principal components analysis and how both are special cases of a more general learning problem: learning the principal eigenfunctions of an operator defined from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc06da19a9579b627f018c3fe2bee142
https://pubmed.ncbi.nlm.nih.gov/15333211
https://pubmed.ncbi.nlm.nih.gov/15333211
Publikováno v:
Artificial Intelligence. (14):1266-1274
Chord progressions are the building blocks from which tonal music is constructed. The choice of a particular representation for chords has a strong impact on statistical modeling of the dependence between chord symbols and the actual sequences of not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::133845d391c34af654fcf08ac8fd05ab
Publikováno v:
ICML
Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in music. In this paper, a distributed representation for chords is desig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd44fad96444a0911d8747b97418021d
https://infoscience.epfl.ch/record/83262
https://infoscience.epfl.ch/record/83262
Publikováno v:
ICML
Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In this paper, we introduce a model for rhythms based on the distributions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa6cdba4c69c3ec5c4a23a522aa812a1
https://infoscience.epfl.ch/record/146464
https://infoscience.epfl.ch/record/146464