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  2. Restricted Boltzmann machine - Wikipedia

    en.wikipedia.org/wiki/Restricted_Boltzmann_machine

    Diagram of a restricted Boltzmann machine with three visible units and four hidden units (no bias units) A restricted Boltzmann machine (RBM) (also called a restricted Sherrington–Kirkpatrick model with external field or restricted stochastic Ising–Lenz–Little model) is a generative stochastic artificial neural network that can learn a probability distribution over its set of inputs.

  3. Results-based management - Wikipedia

    en.wikipedia.org/wiki/Results-based_management

    RBM is an example of a tool used for strategic control.It uses feedback loops to help managers monitor and then (hopefully) achieve strategic goals. These goals may take the form of physical outputs, organizational or behavioral changes, workflow changes, or form contribution to some other higher level goal.

  4. Boltzmann machine - Wikipedia

    en.wikipedia.org/wiki/Boltzmann_machine

    The need for deep learning with real-valued inputs, as in Gaussian RBMs, led to the spike-and-slab RBM (ssRBM), which models continuous-valued inputs with binary latent variables. [12] Similar to basic RBMs and its variants, a spike-and-slab RBM is a bipartite graph, while like GRBMs, the visible units (input) are real-valued. The difference is ...

  5. Feature learning - Wikipedia

    en.wikipedia.org/wiki/Feature_learning

    [6] [24] An RBM can be represented by an undirected bipartite graph consisting of a group of binary hidden variables, a group of visible variables, and edges connecting the hidden and visible nodes. It is a special case of the more general Boltzmann machines with the constraint of no intra-node connections. Each edge in an RBM is associated ...

  6. Deep belief network - Wikipedia

    en.wikipedia.org/wiki/Deep_belief_network

    An RBM is an undirected, generative energy-based model with a "visible" input layer and a hidden layer and connections between but not within layers. This composition leads to a fast, layer-by-layer unsupervised training procedure, where contrastive divergence is applied to each sub-network in turn, starting from the "lowest" pair of layers ...

  7. Racing Bart Mampaey - Wikipedia

    en.wikipedia.org/wiki/Racing_Bart_Mampaey

    Racing Bart Mampaey (formerly Juma Racing) is a racing team based in Mechelen, Belgium that runs the BMW Team RBM operation in the Deutsche Tourenwagen Masters. Previously the team had been racing in the European Touring Car Championship and World Touring Car Championship .

  8. Job control (computing) - Wikipedia

    en.wikipedia.org/wiki/Job_control_(computing)

    For example, TSO on z/OS systems uses CLIST or Rexx as command languages along with JCL for batch work. On other systems these may be the same. On other systems these may be the same. The Non-IBM JCL of what at one time was known as the BUNCH (Burroughs, Univac/Unisys, NCR, Control Data, Honeywell), except for Unisys , are part of the BANG [ 3 ...

  9. Rigid-band model - Wikipedia

    en.wikipedia.org/wiki/Rigid-band_model

    The Rigid-Band Model (or RBM) is one of the models used to describe the behavior of metal alloys. In some cases the model is even used for non-metal alloys such as Si alloys. [ 1 ] According to the RBM the shape of the constant energy surfaces (hence the Fermi surface as well) and curve of density of states of the alloy are the same as those of ...