Pattern Recognition

Service description

The role of classification, feature articles and Syntax Notation. Selection and pretreatment symptoms. Selection and pretreatment symptoms. Bayesian decision theory, discriminatory and divisive functions hypersurface, the criterion of the minimum error. Decision trees. Discriminant analysis, linear classifier. Mechanisms of support vectors (SVM). Neural networks. Uncontrolled classifiers. Hidden Markov models. Quality rating classification. Syntactic recognition, inference grammar. Special types of grammar.

Type of methodology: J

Participants receive the certificate of attendance: M

Paid training activity for participants: N

Participants prerequisite knowledge: AA

Scientific Domain
Mathematics
Category
Training events
Service valid until
Audience
Research and Academia
Location category
Language
English
Technical Domain
Artificial intelligence, machine and deep learning
Scientific programming
Format
In person
Initiative
Castiel and EuroCC
Country