Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers.

H. Borchani, P. Larrañaga, J. Gama, and C. Bielza. Intell. Data Anal., 20 (2): 257-280 (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

María Pilar Larrañaga

Benno Pedrotti

Mario Pedroso

Luicy Pedroza Espinoza

Claudia Pedroni

Other publications of authors with the same name

Floating Search Methods in Learning Bayesian Networks.R. Blanco, I. Inza, and P. Larrañaga. Probabilistic Graphical Models, (2002)Combinatonal Optimization by Learning and Simulation of Bayesian Networks.P. Larrañaga, R. Etxeberria, J. Lozano, and J. Peña. UAI, page 343-352. Morgan Kaufmann, (2000)Structure Learning of Bayesian Networks by Hybrid Genetic Algorithms.P. Larrañaga, R. Murga, M. Poza, and C. Kuijpers. AISTATS, page 165-174. Springer, (1995)Markov Property in Generative Classifiers.G. Varando, C. Bielza, P. Larrañaga, and E. Riccomagno. CoRR, (2018)A partial orthogonalization method for simulating covariance and concentration graph matrices.I. Córdoba, G. Varando, C. Bielza, and P. Larrañaga. PGM, volume 72 of Proceedings of Machine Learning Research, page 61-72. PMLR, (2018)On Applying Supervised Classification Techniques in Medicine.B. Sierra, I. Inza, and P. Larrañaga. ISMDA, volume 2199 of Lecture Notes in Computer Science, page 14-19. Springer, (2001)Information Theory and Classification Error in Probabilistic Classifiers.A. Martínez, P. Larrañaga, and I. Inza. Discovery Science, volume 4265 of Lecture Notes in Computer Science, page 347-351. Springer, (2006)Development of a Cyber-Physical System based on selective Gaussian naïve Bayes model for a self-predict laser surface heat treatment process control.J. Díaz, C. Bielza, J. Ocaña, and P. Larrañaga. ML4CPS, page 1-8. Springer, (2015)Constraint-based and hybrid structure learning of multidimensional continuous-time Bayesian network classifiers.C. Villa-Blanco, A. Bregoli, C. Bielza, P. Larrañaga, and F. Stella. Int. J. Approx. Reason., (August 2023)Learning Bayesian networks for clustering by means of constructive induction.J. Peña, J. Lozano, and P. Larrañaga. Pattern Recognit. Lett., 20 (11-13): 1219-1230 (1999)

BibSonomy

Disambiguation of "Larrañaga, Pedro"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers.

Please choose a person to relate this publication to

María Pilar Larrañaga

Benno Pedrotti

Mario Pedroso

Luicy Pedroza Espinoza

Claudia Pedroni

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Larrañaga, Pedro"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers.

Please choose a person to relate this publication to

María Pilar Larrañaga

Benno Pedrotti

Mario Pedroso

Luicy Pedroza Espinoza

Claudia Pedroni

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers.