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  2. Fisher–Yates shuffle - Wikipedia

    en.wikipedia.org/wiki/Fisher–Yates_shuffle

    This is because 16 does not evenly divide 100: the largest multiple of 16 less than or equal to 100 is 6×16 = 96, and it is the numbers in the incomplete range 96–99 that cause the bias. The simplest way to fix the problem is to discard those numbers before taking the remainder and to keep trying again until a number in the suitable range ...

  3. Timeline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_machine_learning

    The nearest neighbour algorithm was created, which is the start of basic pattern recognition. The algorithm was used to map routes. [2] 1969: Limitations of Neural Networks: Marvin Minsky and Seymour Papert publish their book Perceptrons, describing some of the limitations of perceptrons and neural networks. The interpretation that the book ...

  4. Timeline of algorithms - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_algorithms

    1995 – AdaBoost algorithm, the first practical boosting algorithm, was introduced by Yoav Freund and Robert Schapire; 1995 – soft-margin support vector machine algorithm was published by Vladimir Vapnik and Corinna Cortes. It adds a soft-margin idea to the 1992 algorithm by Boser, Nguyon, Vapnik, and is the algorithm that people usually ...

  5. Anki (software) - Wikipedia

    en.wikipedia.org/wiki/Anki_(software)

    Anki was originally based on the SM-5 algorithm, but the implementation was found to have seemingly incorrect behaviour (harder cards would have their intervals grow more quickly than easier cards in certain circumstances) leading the authors to switch Anki's algorithm to SM-2 (which was further evolved into the modern Anki algorithm). [7]

  6. 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 ...

  7. Automated journalism - Wikipedia

    en.wikipedia.org/wiki/Automated_journalism

    Automated journalism, also known as algorithmic journalism or robot journalism, [1] [2] [3] is a term that attempts to describe modern technological processes that have infiltrated the journalistic profession, such as news articles and videos generated by computer programs.

  8. Algorithm engineering - Wikipedia

    en.wikipedia.org/wiki/Algorithm_engineering

    The 1997 Workshop on Algorithm Engineering (WAE'97) was held in Venice (Italy) on September 11–13, 1997. The Third International Workshop on Algorithm Engineering (WAE'99) was held in London, UK in July 1999. [6] The first Workshop on Algorithm Engineering and Experimentation (ALENEX99) was held in Baltimore, Maryland on January 15–16, 1999 ...

  9. Regulation of algorithms - Wikipedia

    en.wikipedia.org/wiki/Regulation_of_algorithms

    Regulation of algorithms, or algorithmic regulation, is the creation of laws, rules and public sector policies for promotion and regulation of algorithms, particularly in artificial intelligence and machine learning. [1] [2] [3] For the subset of AI algorithms, the term regulation of artificial intelligence is used.

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