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
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