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  2. Beam search - Wikipedia

    en.wikipedia.org/wiki/Beam_search

    Only those states are expanded next. The greater the beam width, the fewer states are pruned. With an infinite beam width, no states are pruned and beam search is identical to best-first search. [3] Conversely, a beam width of 1 corresponds to a hill-climbing algorithm. [3] The beam width bounds the memory required to perform the search.

  3. Beam stack search - Wikipedia

    en.wikipedia.org/wiki/Beam_stack_search

    Beam stack search [1] is a search algorithm that combines chronological backtracking (that is, depth-first search) with beam search and is similar to depth-first beam search. [2] Both search algorithms are anytime algorithms that find good but likely sub-optimal solutions quickly, like beam search, then backtrack and continue to find improved ...

  4. Monte Carlo tree search - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_tree_search

    The rating of best Go-playing programs on the KGS server since 2007. Since 2006, all the best programs use Monte Carlo tree search. [14]In 2006, inspired by its predecessors, [15] Rémi Coulom described the application of the Monte Carlo method to game-tree search and coined the name Monte Carlo tree search, [16] L. Kocsis and Cs.

  5. Adaptive beamformer - Wikipedia

    en.wikipedia.org/wiki/Adaptive_beamformer

    Both the Applebaum and the Widrow algorithms are very similar, and converge toward an optimal solution. [4] However, these techniques have implementation drawbacks. In 1974, Reed demonstrated a technique known as Sample-Matrix Inversion (SMI). SMI determines the adaptive antenna array weights directly, unlike the algorithms of Applebaum and ...

  6. Space-time adaptive processing - Wikipedia

    en.wikipedia.org/wiki/Space-time_adaptive_processing

    Doppler-Bearing response of a 2-dimensional beam-former. Space-time adaptive processing (STAP) is a signal processing technique most commonly used in radar systems. It involves adaptive array processing algorithms to aid in target detection.

  7. Artificial Intelligence: A Modern Approach - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence:_A...

    AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...

  8. LightGBM - Wikipedia

    en.wikipedia.org/wiki/LightGBM

    The LightGBM algorithm utilizes two novel techniques called Gradient-Based One-Side Sampling (GOSS) and Exclusive Feature Bundling (EFB) which allow the algorithm to run faster while maintaining a high level of accuracy. [13] LightGBM works on Linux, Windows, and macOS and supports C++, Python, [14] R, and C#. [15]

  9. Malbolge - Wikipedia

    en.wikipedia.org/wiki/Malbolge

    The first program was not written by a human being; it was generated by a beam search algorithm designed by Andrew Cooke and implemented in Lisp. [ 3 ] Later, Lou Scheffer posted a cryptanalysis of Malbolge and provided a program to copy its input to its output. [ 4 ]

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