Learning rules of a card game from video
This paper presents a framework for automatically learning rules of a simple game of cards using data from a vision system observing the game being played. of object and protocol models from video, for use by an artificial , is presented. -a novel algorithm for inducing univariate decision trees for symbolic datasets is introduced. builds the decision tree in an incremental way allowing automatic learning of rules of the game.
cognitive vision decision tree learning incremental learning