From post

Unsupervised learning applied in MER and ECG signals through Gaussians mixtures with the Expectation-Maximization algorithm and Variational Bayesian Inference.

, , и . EMBC, стр. 4326-4329. IEEE, (2013)

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.

 

Другие публикации лиц с тем же именем

Sparse Linear Models Applied to Power Quality Disturbance Classification., , и . CIARP, том 10125 из Lecture Notes in Computer Science, стр. 521-529. (2016)Recyclable Gaussian Processes., , и . CoRR, (2020)Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models., , и . CIARP, том 10125 из Lecture Notes in Computer Science, стр. 249-256. (2016)Bayesian Optimization for Fitting 3D Morphable Models of Brain Structures., , и . CIARP, том 10125 из Lecture Notes in Computer Science, стр. 291-299. (2016)Adversarial Vulnerability Bounds for Gaussian Process Classification., , , и . CoRR, (2019)Multi-patient learning increases accuracy for Subthalamic nucleus identification in deep brain stimulation., , и . EMBC, стр. 4341-4344. IEEE, (2012)Gaussian process dynamical models for multimodal affect recognition., , и . EMBC, стр. 850-853. IEEE, (2016)Kernel temporal enhancement approach for LORETA source reconstruction using EEG data., , и . EMBC, стр. 4527-4530. IEEE, (2016)Latent force models for describing transcriptional regulation processes in the embryo development problem for the Drosophila melanogaster., , и . EMBC, стр. 338-341. IEEE, (2014)Differentially Private Regression and Classification with Sparse Gaussian Processes., , и . CoRR, (2019)