enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Batch normalization - Wikipedia

    en.wikipedia.org/wiki/Batch_normalization

    In a neural network, batch normalization is achieved through a normalization step that fixes the means and variances of each layer's inputs. Ideally, the normalization would be conducted over the entire training set, but to use this step jointly with stochastic optimization methods, it is impractical to use the global information.

  3. Normalization (machine learning) - Wikipedia

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

    Instance normalization (InstanceNorm), or contrast normalization, is a technique first developed for neural style transfer, and is also only used for CNNs. [26] It can be understood as the LayerNorm for CNN applied once per channel, or equivalently, as group normalization where each group consists of a single channel:

  4. Normalization process model - Wikipedia

    en.wikipedia.org/wiki/Normalization_process_model

    The normalization process model is a sociological model, developed by Carl R. May, that describes the adoption of new technologies in health care.The model provides framework for process evaluation using three components – actors, objects, and contexts – that are compared across four constructs: Interactional workability, relational integration, skill-set workability, and contextual ...

  5. Normalization process theory - Wikipedia

    en.wikipedia.org/wiki/Normalization_process_theory

    Normalization process theory (NPT) is a sociological theory, generally used in the fields of science and technology studies (STS), implementation research, and healthcare system research. The theory deals with the adoption of technological and organizational innovations into systems, recent studies have utilized this theory in evaluating new ...

  6. Residual neural network - Wikipedia

    en.wikipedia.org/wiki/Residual_neural_network

    A residual block in a deep residual network. Here, the residual connection skips two layers. A residual neural network (also referred to as a residual network or ResNet) [1] is a deep learning architecture in which the layers learn residual functions with reference to the layer inputs.

  7. Glossary of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_artificial...

    Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...

  8. Health administration - Wikipedia

    en.wikipedia.org/wiki/Health_administration

    Iconographic Collections. Keywords: E. Walker; Florence Nightingale; W.J. Simpson. Health administration, healthcare administration, healthcare management or hospital management is the field relating to leadership, management, and administration of public health systems, health care systems, hospitals, and hospital networks in all the primary, secondary, and tertiary sectors.

  9. Agency for Healthcare Research and Quality - Wikipedia

    en.wikipedia.org/wiki/Agency_for_Healthcare...

    In 1985 it was renamed the National Center for Health Services Research and Health Care Technology Assessment. [ 3 ] In 1989, the agency became its own operating agency within PHS, and was renamed Agency for Health Care Policy and Research (AHCPR) [ 3 ] by the Omnibus Budget Reconciliation Act of 1989 (103 Stat. 2159 ).