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Restricted Boltzmann Machines for work load predition



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsHow are non-restricted Boltzmann machines trained?Training Restricted Boltzmann Machines (RBMs) using gradient descentHow is dimensionality reduction achieved in Deep Belief Networks with Restricted Boltzmann Machines?Intuition Behind Restricted Boltzmann Machine (RBM)# of iterations in Restricted Boltzmann Machine (RBM)Understanding a simple example of Restricted Boltzmann Machine (RBM)How hidden units are conditionally independent in restricted Boltzmann machinesIsn't computing the “tractable error” in Restricted Boltzmann Machines (RBM) intractable?Training Gaussian Restricted Boltzmann Machines with Noisy Rectified (nrelu or ssu) linear hidden unitsNewbie question on restricted boltzmann machine










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I have been reading about Restricted Boltzmann machines and their ability to represent a system.

Actually I wanted to build a system in which can predict depending on various parameters like cpu load, number of requests, memory_usage, active_count, etc whether the system is going to fail in near future or not (so we can autoscale ahead of failure).



Can RBM's help in this task?
Please suggest some other models if they are more fit for such type of task.










share|improve this question









$endgroup$
















    0












    $begingroup$


    I have been reading about Restricted Boltzmann machines and their ability to represent a system.

    Actually I wanted to build a system in which can predict depending on various parameters like cpu load, number of requests, memory_usage, active_count, etc whether the system is going to fail in near future or not (so we can autoscale ahead of failure).



    Can RBM's help in this task?
    Please suggest some other models if they are more fit for such type of task.










    share|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      I have been reading about Restricted Boltzmann machines and their ability to represent a system.

      Actually I wanted to build a system in which can predict depending on various parameters like cpu load, number of requests, memory_usage, active_count, etc whether the system is going to fail in near future or not (so we can autoscale ahead of failure).



      Can RBM's help in this task?
      Please suggest some other models if they are more fit for such type of task.










      share|improve this question









      $endgroup$




      I have been reading about Restricted Boltzmann machines and their ability to represent a system.

      Actually I wanted to build a system in which can predict depending on various parameters like cpu load, number of requests, memory_usage, active_count, etc whether the system is going to fail in near future or not (so we can autoscale ahead of failure).



      Can RBM's help in this task?
      Please suggest some other models if they are more fit for such type of task.







      prediction rbm






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Apr 3 at 7:32









      Pranav GuptaPranav Gupta

      11




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