CS607 GDB Fall 2020 – GDB – Solution VU

CS607 GDB Fall 2020 – GDB – Solution VU

CS607 GDB Fall 2020 solution idea:

 

The “learning” part of machine learning refers to an algorithm’s ability to find patterns in data to self-improve the machine’s outcomes, ie to use existing data to predict unknowns. Version space learning is a logical approach to machine learning, specifically binary classification. Version space learning algorithms search a predefined space of hypotheses, viewed as a set of logical sentences. Formally, the hypothesis space is a disjunction. A version space description consists of two complementary trees: One that contains nodes connected to overly general models, and One that contains nodes connected to overly specific models.

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