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What is the fringe in the context of search algorithms?
Jul 6, 2019 · In English, the fringe is (also) defined as the outer, marginal, or extreme part of an area, group, or sphere of activity. In the context of AI search algorithms, the state (or search) …
A* and uniform-cost search are apparently incomplete
Nov 24, 2019 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for …
What are the differences between A* and greedy best-first search?
Aug 30, 2019 · However, A* needs to keep all nodes in memory while searching, not just the ones in the fringe, because A*, essentially, performs an "exhaustive search" (which is "informed", in …
Why is A* optimal if the heuristic function is admissible?
Apr 13, 2018 · The tree search does not remember which states it has already visited, only the "fringe" of states it hasn't visited yet. A graph search is a general search strategy for searching …
What is the difference between tree search and graph search?
There is always a lot of confusion about this concept, because the naming is misleading, given that both tree and graph searches produce a tree (from which you can derive a path) while …
machine learning - What is a fully convolution network? - Artificial ...
Jun 12, 2020 · Fully convolution networks. A fully convolution network (FCN) is a neural network that only performs convolution (and subsampling or upsampling) operations.
How does the uniform-cost search algorithm work?
Nov 10, 2019 · Uniform Cost Search is also called the Cheapest First Search. For an example and entire explanation you can directly go to this link: Udacity - Uniform Cost Search.
What are alternatives to PCA for time series data?
Feb 3, 2024 · I have some data (20 stock price time series) and want to compare different approaches for dimensionality reduction other than PCA (I want to fit only 2 variables in my AR …
norvig russell - What does the statement with the max do in the ...
Mar 20, 2020 · By taking the max, the code ensures that states that are restored maintain at least the cost of the previously best unexpanded state. (If the g+h cost is larger, then we know the …
How is iterative deepening A* better than A*?
Apr 16, 2019 · The iterative deepening A* search is an algorithm that can find the shortest path between a designated start node and any member of a set of goals. The A* algorithm …
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