Machine Learning and Review Reading: C. 18 Bayesian Approach Each observed training example can incrementally decrease or increase probability of hypothesis instead of eliminate an hypothesis Prior knowledge can be combined with observed data to determine hypothesis
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Reading: C. 18
(Using Bayes Theorem)
Given an initial state and a goal, find the sequence of actions leading through a sequence of states to the final goal state.
Is this notion of completeness the same as completeness in logic?
When the higher the heuristic function the better: maxima (objective fns); when the lower the function the better: minima (cost fns)
Depth-first search often used