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  2. Probably approximately correct learning - Wikipedia

    en.wikipedia.org/wiki/Probably_approximately...

    In computational learning theory, probably approximately correct ( PAC) learning is a framework for mathematical analysis of machine learning. It was proposed in 1984 by Leslie Valiant. [ 1] In this framework, the learner receives samples and must select a generalization function (called the hypothesis) from a certain class of possible functions.

  3. Tabu search - Wikipedia

    en.wikipedia.org/wiki/Tabu_search

    Tabu search (TS) is a metaheuristic search method employing local search methods used for mathematical optimization. It was created by Fred W. Glover in 1986 [ 1] and formalized in 1989. [ 2][ 3] Local (neighborhood) searches take a potential solution to a problem and check its immediate neighbors (that is, solutions that are similar except for ...

  4. List of file formats - Wikipedia

    en.wikipedia.org/wiki/List_of_file_formats

    This is a list of file formats used by computers, organized by type. Filename extension is usually noted in parentheses if they differ from the file format 's name or abbreviation. Many operating systems do not limit filenames to one extension shorter than 4 characters, as was common with some operating systems that supported the File ...

  5. Missionaries and cannibals problem - Wikipedia

    en.wikipedia.org/wiki/Missionaries_and_cannibals...

    The missionaries and cannibals problem, and the closely related jealous husbands problem, are classic river-crossing logic puzzles. [ 1] The missionaries and cannibals problem is a well-known toy problem in artificial intelligence, where it was used by Saul Amarel as an example of problem representation. [ 2][ 3]

  6. Iterative deepening A* - Wikipedia

    en.wikipedia.org/wiki/Iterative_deepening_A*

    Iterative deepening A* ( IDA*) is a graph traversal and path search algorithm that can find the shortest path between a designated start node and any member of a set of goal nodes in a weighted graph. It is a variant of iterative deepening depth-first search that borrows the idea to use a heuristic function to conservatively estimate the ...

  7. Partial-order planning - Wikipedia

    en.wikipedia.org/wiki/Partial-order_planning

    Partial-order plan. A partial-order plan or partial plan is a plan which specifies all actions that must be taken, but only specifies the order between actions when needed. It is the result of a partial-order planner. A partial-order plan consists of four components: A set of actions (also known as operators ). A partial order for the actions.

  8. Karmarkar's algorithm - Wikipedia

    en.wikipedia.org/wiki/Karmarkar's_algorithm

    Karmarkar's algorithm is an algorithm introduced by Narendra Karmarkar in 1984 for solving linear programming problems. It was the first reasonably efficient algorithm that solves these problems in polynomial time. The ellipsoid method is also polynomial time but proved to be inefficient in practice. Denoting by the number of variables, m the ...

  9. Heuristic (computer science) - Wikipedia

    en.wikipedia.org/wiki/Heuristic_(computer_science)

    Heuristic (computer science) In mathematical optimization and computer science, heuristic (from Greek εὑρίσκω "I find, discover") is a technique designed for problem solving more quickly when classic methods are too slow for finding an exact or approximate solution, or when classic methods fail to find any exact solution in a search space.