What is the fringe in the context of search algorithms?
Apr 8, 2018 · 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 …
A* and uniform-cost search are apparently incomplete
Nov 24, 2019 · The evaluation function is used to choose the next node to visit from the fringe, which is the set of nodes that can potentially be visited. Whenever we visit a node, we remove it from the fringe.
How does the uniform-cost search algorithm work?
Nov 10, 2019 · What is the uniform-cost search (UCS) algorithm? How does it work? I would appreciate seeing a graphical execution of the algorithm. How does the frontier evolve in the case of UCS?
What are the differences between A* and greedy best-first search?
Aug 30, 2019 · What are the differences between the A* algorithm and the greedy best-first search algorithm? Which one should I use? Which algorithm is the better one, and why?
What is the space complexity of breadth-first search?
Nov 9, 2020 · When using the breadth-first search algorithm, is the space complexity $O (b^d)$, where $b$ is the branching factor and $d$ the length of the optimal path (assuming ...
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 graph …
machine learning - Artificial Intelligence Stack Exchange
Sep 26, 2020 · A model can be classified as parametric or non-parametric. How are models classified as parametric and non-parametric models? What is the difference between the two approaches?
Is there a rigorous proof that AGI is possible, at least, in theory?
Jul 4, 2017 · So, despite the sensationalist tendencies of rogue journalists "parroting" wildly spectacular concepts from the fringe camps of the transhumanists (aka science fiction) - a quick perusal of the …
How is iterative deepening A* better than A*?
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 evaluates nodes by combining the
Is Universal Dependency Relations (DEPREL) tagging useful for machine ...
5 days ago · Is Universal Dependency Relations (DEPREL) tagging useful for machine translation training, or does simple XPOS, UPOS, UFeats tagging suffice? It would seem that dependency …