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) space is …
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?
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
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.
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 …
What is the difference between local search and global search ...
May 2, 2019 · The difference between a local search algorithm (like beam search) and a complete search algorithm (like A*) is, for the most part, small. Local search algorithms will not always find the …
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. Equivalently, an FCN is a CNN …
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?
Why do we use a last-in-first-out queue in depth-first search?
Jun 2, 2020 · We use the LIFO queue, i.e. stack, for implementation of the depth-first search algorithm because depth-first search always expands the deepest node in the current frontier of the search …
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 ...