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  2. State-transition table - Wikipedia

    en.wikipedia.org/wiki/State-transition_table

    In the state-transition table, all possible inputs to the finite-state machine are enumerated across the columns of the table, while all possible states are enumerated across the rows. If the machine is in the state S 1 (the first row) and receives an input of 1 (second column), the machine will stay in the state S 1.

  3. Satiety - Wikipedia

    en.wikipedia.org/wiki/Satiety

    Satiety (/səˈtaɪ.ə.ti/ sə-TYE-ə-tee) is a state or condition of fullness gratified beyond the point of satisfaction, the opposite of hunger.Following satiation (meal termination), satiety is a feeling of fullness lasting until the next meal. [1]

  4. File:Adaptive chart - adaptive method.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Adaptive_chart...

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  5. Satiety value - Wikipedia

    en.wikipedia.org/wiki/Satiety_value

    [1] [2] Highest satiety value is expected when the food that remains in the stomach for a longer period produces greatest functional activity of the organ. [3] [4] Limiting the food intake after reaching the satiety value helps reduce obesity problems. [5] [6] Foods with the most satiation per calorie are often:

  6. Adjoint state method - Wikipedia

    en.wikipedia.org/wiki/Adjoint_state_method

    The adjoint state method is a numerical method for efficiently computing the gradient of a function or operator in a numerical optimization problem. [1] It has applications in geophysics, seismic imaging, photonics and more recently in neural networks. [2] The adjoint state space is chosen to simplify the physical interpretation of equation ...

  7. Hand evaluation - Wikipedia

    en.wikipedia.org/wiki/Hand_evaluation

    Confusion can arise because the term "points" can be used to mean either HCP, or HCP plus length points. This method, of valuing both honour cards and long suits, is suitable for use at the opening bid stage before a trump suit has been agreed. In the USA this method of combining HCP and long-card points is known as the point-count system. [2]

  8. State–action–reward–state–action - Wikipedia

    en.wikipedia.org/wiki/State–action–reward...

    State–action–reward–state–action (SARSA) is an algorithm for learning a Markov decision process policy, used in the reinforcement learning area of machine learning. It was proposed by Rummery and Niranjan in a technical note [ 1 ] with the name "Modified Connectionist Q-Learning" (MCQ-L).

  9. State diagram - Wikipedia

    en.wikipedia.org/wiki/State_diagram

    A state diagram for a door that can only be opened and closed. A state diagram is used in computer science and related fields to describe the behavior of systems. State diagrams require that the system is composed of a finite number of states. Sometimes, this is indeed the case, while at other times this is a reasonable abstraction.