Lecture 5 : Dynamic Programming
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چکیده
2 Knapsack Problem (continued) 2.1 Algorithm Recap Definition: We define states (sub-problems) as the following: the maximum value for a knapsack with capacity j and we are given the first i items. Then, we have ∀i, j, the corresponding state, a[i, j] is max(a[i−1, j−wi] + vi, a[i−1, j]), where the first option is the value if item i is in the knapsack and the second option is the value if item i is not in the knapsack.
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Course : Model , Learning , and Inference : Lecture 5
Probability distributions on structured representation. Dynamic Programming. Learning with EM. NOTE: NOT FOR DISTRIBUTION!!
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