Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Marc Boullé"'
Autor:
Marc Boullé
Publikováno v:
Annals of computer science and information systems, Vol 8, Pp 221-224 (2016)
Externí odkaz:
https://doaj.org/article/392282363aff45959a159d13e75bea6c
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031264184
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2afb62b7c83ff4015006507a4888fd4
https://doi.org/10.1007/978-3-031-26419-1_15
https://doi.org/10.1007/978-3-031-26419-1_15
G-Enum histograms are a new fast and fully automated method for irregular histogram construction. By framing histogram construction as a density estimation problem and its automation as a model selection task, these histograms leverage the Minimum De
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb5a37f44d646d5110f263d87bc8e064
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783030757618
PAKDD (1)
PAKDD (1)
Supervised learning of time series data has been extensively studied for the case of a categorical target variable. In some application domains, e.g., energy, environment and health monitoring, it occurs that the target variable is numerical and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a226337f11c1079bc329e7967711f525
https://doi.org/10.1007/978-3-030-75762-5_63
https://doi.org/10.1007/978-3-030-75762-5_63
Publikováno v:
Big Data Analytics and Knowledge Discovery ISBN: 9783030590642
DaWaK
DaWaK
Multivariate Time Series Classification (MTSC) has attracted increasing research attention in the past years due to the wide range applications in e.g., action/activity recognition, EEG/ECG classification, etc. In this paper, we open a novel path to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::506a41b7479da04470b9d061ed4d9285
https://doi.org/10.1007/978-3-030-59065-9_25
https://doi.org/10.1007/978-3-030-59065-9_25
Autor:
Marc Boullé
Publikováno v:
International Journal of Approximate Reasoning. 103:71-93
We leverage the Minimum Description Length (MDL) principle as a model selection technique for multinomial distributions and suggest a two-part MDL code based on a hierarchical encoding of the multinomial parameters. We compare this code with the alte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::674f36a4be77daf6ebe2a74c9d07c44c
https://doi.org/10.1016/j.ijar.2018.09.002
https://doi.org/10.1016/j.ijar.2018.09.002
Publikováno v:
Machine Learning
Machine Learning, 2019, 108 (2), pp.229-266. ⟨10.1007/s10994-018-5746-9⟩
Machine Learning, 2019, 108 (2), pp.229-266. ⟨10.1007/s10994-018-5746-9⟩
Companies want to extract value from their relational databases. This is the aim of relational data mining. Propositionalization is one possible approach to relational data mining. Propositionalization adds new attributes, called features, to the mai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2806379eefefc680fb320f0f61f224ae
https://hal.science/hal-03763874
https://hal.science/hal-03763874
Publikováno v:
Advances in Knowledge Discovery and Management ISBN: 9783030181284
EGC (best of volume)
EGC (best of volume)
Co-clustering is a data mining technique used to extract the underlying block structure between the rows and columns of a data matrix. Many approaches have been studied and have shown their capacity to extract such structures in continuous, binary or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efe5f8832753c0cd6d885f4c39aa2abf
https://doi.org/10.1007/978-3-030-18129-1_1
https://doi.org/10.1007/978-3-030-18129-1_1
Autor:
Bisakha Ray, Sergio Escalera, Michèle Sebag, Evelyne Viegas, Alexander Statnikov, Mehreen Saeed, Isabelle Guyon, Marc Boullé, Lisheng Sun-Hosoya, Hugo Jair Escalante, Wei-Wei Tu, Damir Jajetic, Zhengying Liu
Publikováno v:
Automated Machine Learning ISBN: 9783030053178
Automated Machine Learning
Automated Machine Learning
The ChaLearn AutoML Challenge (The authors are in alphabetical order of last name, except the first author who did most of the writing and the second author who produced most of the numerical analyses and plots.) (NIPS 2015 – ICML 2016) consisted o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f80d74fa8e747770c33f687151728562
https://doi.org/10.1007/978-3-030-05318-5_10
https://doi.org/10.1007/978-3-030-05318-5_10
Publikováno v:
Advances in Knowledge Discovery and Management ISBN: 9783030181284
EGC (best of volume)
EGC (best of volume)
Co-clustering is a class of unsupervised data analysis techniques that extract the existing underlying dependency structure between the instances and variables of a data table as homogeneous blocks. Most of those techniques are limited to variables o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3922c812d510bf969520cab2baca3318
https://doi.org/10.1007/978-3-030-18129-1_2
https://doi.org/10.1007/978-3-030-18129-1_2