Symbolické metody strojového učení a rozhodovací stromy
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Vysoká škola báňská – Technická univerzita Ostrava
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The aim of the thesis is to summarize the theory of machine learning in multi-agent systems using the symbolic representation of knowledge. In the case study, the student will program an agent that will build a representation for classifying examples in the form of a decision tree based on knowledge specified in the language of predicate logic of the 1st order.
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typography, \LaTeX, bachelors thesis, multi-agent system, machine learning, decision trees