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  2. Kumon - Wikipedia

    en.wikipedia.org/wiki/Kumon

    All Kumon programs are pencil-and-worksheet-based, with a digital program that started in 2023. The worksheets increase in difficulty in small increments. [9] [10] Psychologist Kathy Hirsh-Pasek says that using such techniques for 2 to 12-year-olds "does not give your child a leg up on anything". [7] One study has observed a high percentage of ...

  3. Mathematics of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Mathematics_of_artificial...

    An artificial neural network (ANN) combines biological principles with advanced statistics to solve problems in domains such as pattern recognition and game-play. ANNs adopt the basic model of neuron analogues connected to each other in a variety of ways.

  4. Reading - Wikipedia

    en.wikipedia.org/wiki/Reading

    Reading is the process of taking in the sense or meaning of symbols, often specifically those of a written language, by means of sight or touch. [1] [2] [3] [4]For educators and researchers, reading is a multifaceted process involving such areas as word recognition, orthography (spelling), alphabetics, phonics, phonemic awareness, vocabulary, comprehension, fluency, and motivation.

  5. Pattern recognition (psychology) - Wikipedia

    en.wikipedia.org/wiki/Pattern_recognition...

    In psychology and cognitive neuroscience, pattern recognition is a cognitive process that matches information from a stimulus with information retrieved from memory. [1]Pattern recognition occurs when information from the environment is received and entered into short-term memory, causing automatic activation of a specific content of long-term memory.

  6. Pattern recognition - Wikipedia

    en.wikipedia.org/wiki/Pattern_recognition

    Pattern recognition is the task of assigning a class to an observation based on patterns extracted from data. While similar, pattern recognition (PR) is not to be confused with pattern machines (PM) which may possess (PR) capabilities but their primary function is to distinguish and create emergent patterns.

  7. Prior knowledge for pattern recognition - Wikipedia

    en.wikipedia.org/wiki/Prior_knowledge_for...

    A very common type of prior knowledge in pattern recognition is the invariance of the class (or the output of the classifier) to a transformation of the input pattern. This type of knowledge is referred to as transformation-invariance. The mostly used transformations used in image recognition are: translation; rotation; skewing; scaling.