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  2. Structured support vector machine - Wikipedia

    en.wikipedia.org/wiki/Structured_support_vector...

    The structured support-vector machine is a machine learning algorithm that generalizes the Support-Vector Machine (SVM) classifier. Whereas the SVM classifier supports binary classification, multiclass classification and regression, the structured SVM allows training of a classifier for general structured output labels.

  3. Kernel method - Wikipedia

    en.wikipedia.org/wiki/Kernel_method

    In machine learning, kernel machines are a class of algorithms for pattern analysis, whose best known member is the support-vector machine (SVM). These methods involve using linear classifiers to solve nonlinear problems. [1]

  4. Support vector machine - Wikipedia

    en.wikipedia.org/wiki/Support_vector_machine

    Potential drawbacks of the SVM include the following aspects: Requires full labeling of input data; Uncalibrated class membership probabilities—SVM stems from Vapnik's theory which avoids estimating probabilities on finite data; The SVM is only directly applicable for two-class tasks.

  5. Microsoft Visio - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Visio

    Microsoft Visio (/ ˈ v ɪ z. i. oʊ /, VIZ-ee-oh), formerly Microsoft Office Visio, is a diagramming and vector graphics application and is part of the Microsoft 365 family. The product was first introduced in 1992 by former American software company Visio Corporation, and its latest version is Visio 2021.

  6. Outline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Outline_of_machine_learning

    The following outline is provided as an overview of, and topical guide to, machine learning: . Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study of pattern recognition and computational learning theory. [1]

  7. Object recognition (cognitive science) - Wikipedia

    en.wikipedia.org/wiki/Object_recognition...

    Visual object recognition refers to the ability to identify the objects in view based on visual input. One important signature of visual object recognition is "object invariance", or the ability to identify objects across changes in the detailed context in which objects are viewed, including changes in illumination, object pose, and background context.

  8. Cognitive model - Wikipedia

    en.wikipedia.org/wiki/Cognitive_model

    A cognitive model is a representation of one or more cognitive processes in humans or other animals for the purposes of comprehension and prediction. There are many types of cognitive models, and they can range from box-and-arrow diagrams to a set of equations to software programs that interact with the same tools that humans use to complete tasks (e.g., computer mouse and keyboard).

  9. Scientist–practitioner model - Wikipedia

    en.wikipedia.org/wiki/Scientist–practitioner_model

    David Shakow is largely responsible for the ideas and developments of the Boulder Model. On May 3, 1941, while he was chief psychologist at Worcester State Hospital, Shakow drafted his first training plan to educate clinical psychology graduate students during a Conference at The New York Psychiatric Institute, now referred to as Shakow's 1941 American Association for Applied Psychology Report ...