What is the fringe in the context of search algorithms?
2019年7月6日 · 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) space is usually represented as a graph, where nodes are states and the edges are the connections (or actions) between the corresponding states.
What are the differences between A* and greedy best-first search?
2019年8月30日 · 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 the sense that it uses a heuristic function).
A* and uniform-cost search are apparently incomplete
2019年11月24日 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.
Why is A* optimal if the heuristic function is admissible?
2018年4月13日 · 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 graph-structured problems, where it's possible to double back to an earlier state, like in chess (e.g. both players can just move their kings back and forth).
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 exploring the search space, which is usually represented as a graph.
How does the uniform-cost search algorithm work?
2019年11月10日 · 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.
ai design - Artificial Intelligence Stack Exchange
2018年8月14日 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.
What is the space complexity of breadth-first search?
2020年11月9日 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.
What are alternatives to PCA for time series data?
2024年2月3日 · 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 model).
Should the range of target values match the range of activation ...
2022年5月5日 · Yes, you should use an activation function that match the range of your ground truth labels, or the other way around, i.e. apply a normalization function to the labels to match your activation function.