Algoritmy strojového učení a jejich použití ve fyzice vysokých energií

Syllabus

sparse kernel machines (SVM, RVM) graphical models mixture models and expectation maximization principal component analysis (PCA)

Markov models and linear dynamical systems

Hopfield map recurrent neural network

Annotation

• sparse kernel machines (SVM, RVM)

• graphical models

• mixture models and expectation maximization

• principal component analysis (PCA)

• Markov models and linear dynamical systems

• Hopfield map

• recurrent neural network