Classes
- Machine LearningNAIL029 | Faculty of Mathematics and Physics
- Probabilistic RoboticsNAIL101 | Faculty of Mathematics and Physics
- Probabilistic graphical modelsNAIL104 | Faculty of Mathematics and Physics
- Seminar on Data Mining +1NAIL114 | Faculty of Mathematics and Physics
- Automata and Grammars +1NTIN071 | Faculty of Mathematics and Physics
Publications
- Evaluating a Bayesian-like relevance feedback model with text-to-image search initialization2022 | Faculty of Mathematics and Physics
- Acting and Bayesian reinforcement structure learning of partilally observable environment2014 | Faculty of Mathematics and Physics
- Probabilistic Approach to Multiattribute Queries in Distributed Systems2005 | Faculty of Mathematics and Physics, Central Library of Charles University
- Probabilistic Approach to Multiattribute Queries in Distributed Systems2005 | Faculty of Mathematics and Physics
- Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning2022 | Faculty of Mathematics and Physics
- Automated Acquisition of Control Knowledge for Classical Planners2020 | Faculty of Mathematics and Physics
- Color-sketch simulator: a guide for color-based visual known-item search2017 | Faculty of Mathematics and Physics
- Using Machine Learning to Identify Activities of a Flying Drone from Sensor Readings2017 | Faculty of Mathematics and Physics
- Understanding Transparent and Complicated Users as Instances of Preference Learning for Recommender Systems2016 | Faculty of Mathematics and Physics
- Basis Functions as Pivots in Space of Users Preferences2016 | Faculty of Mathematics and Physics
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