Olivier Canévet

EPFL STI IEL LIDIAP
INF 136 (Bâtiment INF)
Station 14
CH-1015 Lausanne

EPFL > STI > IEM > LIDIAP

Web site: Site web: https://idiap.epfl.ch/

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Enseignement & Phd

Cours

Fundamentals in statistical pattern recognition

1. Introduction
** Data representation
** Supervised/unsupervised models (from regression and classification to probability distribution modelling)
** Overview: Linear models, Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Multi-Layered Perceptron (MLP), Support Vector Machines (SVM), k-Means, Gaussian Mixture Models (GMM) Hidden Markov Models (HMM), Ses


Machine Learning for Engineers