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  2. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    Some models built via machine learning algorithms have over 90% accuracy in distinguishing between spam and legitimate emails. [16] These models can be refined using new data and evolving spam tactics. Machine learning also analyzes traits such as sender behavior, email header information, and attachment types, potentially enhancing spam detection.

  3. Generalization (learning) - Wikipedia

    en.wikipedia.org/wiki/Generalization_(learning)

    Therefore, generalization is a valuable and integral part of learning and everyday life. Generalization is shown to have implications on the use of the spacing effect in educational settings. [13] In the past, it was thought that the information forgotten between periods of learning when implementing spaced presentation inhibited generalization ...

  4. Active learning (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Active_learning_(machine...

    Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source), to label new data points with the desired outputs. The human user must possess knowledge/expertise in the problem domain, including the ability to consult/research authoritative sources ...

  5. 12 unexpected ways algorithms control your life

    www.aol.com/12-unexpected-ways-algorithms...

    Mashable’s series Algorithms explores the mysterious lines of code that increasingly control our lives — and our futures. Blame the algorithm. Algorithms are behind many mundane, but still ...

  6. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

  7. List of genetic algorithm applications - Wikipedia

    en.wikipedia.org/wiki/List_of_genetic_algorithm...

    Learning robot behavior using genetic algorithms; Image processing: Dense pixel matching [16] Learning fuzzy rule base using genetic algorithms; Molecular structure optimization (chemistry) Optimisation of data compression systems, for example using wavelets. Power electronics design. [17] Traveling salesman problem and its applications [14]

  8. Multiplicative weight update method - Wikipedia

    en.wikipedia.org/wiki/Multiplicative_Weight...

    In machine learning, Littlestone and Warmuth generalized the winnow algorithm to the weighted majority algorithm. [11] Later, Freund and Schapire generalized it in the form of hedge algorithm. [ 12 ] AdaBoost Algorithm formulated by Yoav Freund and Robert Schapire also employed the Multiplicative Weight Update Method.

  9. Computational intelligence - Wikipedia

    en.wikipedia.org/wiki/Computational_intelligence

    Generally, computational intelligence is a set of nature-inspired computational methodologies and approaches to address complex real-world problems to which mathematical or traditional modelling can be useless for a few reasons: the processes might be too complex for mathematical reasoning, it might contain some uncertainties during the process ...