František HaklHead of Department of Machine Learning
Institute of Computer Science, The Czech Academy of Sciences
office: 235 |
Research interests:
- machine learning, supervised learning, deep neural networks
- probabilistic models of supervised learning (PAC etc.)
- approximation properties of neural network models
- theoretical background of genetic algorithms
- application of machine learning in high energy physics and other fields
Teaching:
Faculty of Nuclear Science and Physical Engineering, Czech Technical University- Neural Networks and their Application I.
( CZ ,
EN )
- Neural Networks and their Application II.
( CZ ,
EN ,
CZ-slides )
- Probabilistic models of Learning
( CZ ,
EN )
Topics for dissertation and diploma thesis
- Estimates of the Number of Patterns in the PAC Model for Nonconsistent Separation
( CZ ,
EN )
- Analysis of Data-mining methods based on One--to--one Neural Networks
( CZ ,
EN )
Projects:
- Collaboration on the Fermilab experiments,
Provider: Ministry of Education, Youth and Sports of the Czech Republic, No. CZ.02.1.01/0.0/0.0/16_013/0001787 (3/18 -- 3/20)
- Fermilab-CZ - Research Infrastructure for Fermilab Experiments,
Provider: Ministry of Education, Youth and Sports of the Czech Republic, No. LM2015068 (1/16 -- 12/19)
- National Competence Center -- Cybernetics and Artificial Inteligence,
Provider: Technology agency of the Czech Republic, No. TN01000024 (1/19 -- 12/20)
- Curriculum Vitae (pdf) [last update: Apr 2019]