Essays about: "Restricted Boltzmann machine"

Showing result 1 - 5 of 11 essays containing the words Restricted Boltzmann machine.

  1. 1. Local Integrals of Motion from Neural Networks

    University essay from KTH/Fysik

    Author : Hannes Karlsson; [2023]
    Keywords : many-body localization; integrals of motion; neural networks; machine learning; flerkroppslokalisering; rörelseintegraler; neurala nätverk; maskininlärning;

    Abstract : Neural network quantum states (NNQS) is a novel machine learning method, based on restricted Boltzmann machines, previously used to represent the wave function in many-body quantum mechanics. In this thesis, we use NNQS to instead find integrals of motion, i.e., operators, commuting with the Hamiltonian, describing a system. READ MORE

  3. 2. Group Invariant Convolutional Boltzmann Machines

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Maria Lindström; [2020-12-04]
    Keywords : Convolutional Boltzmann Machines; Convolutional neural networks; artificial neural networks; machine learning; group invariance; group equivariance;

    Abstract : We investigate group invariance in unsupervised learning in the context of certain generative networks based on Boltzmann machines. Specifically, we introduce a generalization of restricted Boltzmann machines which is adapted to input data that is acted upon by any compact group G. READ MORE

  4. 3. Restricted Boltzmann Machine as Recommendation Model for Venture Capital

    University essay from KTH/Matematisk statistik

    Author : Gustav Fredriksson; Anton Hellström; [2019]
    Keywords : Machine learning; statistics; applied mathematics; venture capital; recommendation models; Maskininlärning; statistik; tillämpad matematik; riskkapital; rekommendationsmodeller;

    Abstract : Denna studie introducerar restricted Boltzmann machines (RBMs) som rekommendationsmodell i kontexten av riskkapital. Ett nätverk av relationer används som proxy för att modellera investerares bolagspreferenser. READ MORE

  5. 4. Unsupervised real-time anomaly detection on streaming data for large-scale application deployments

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Carl Jernbäcker; [2019]
    Keywords : ;

    Abstract : Anomaly detection is the classification of data points that do not adhere to the familiar pattern; in previous studies there existed a need for extensive human interactions with either labelling or sorting normal and abnormal data from one another. In this thesis, we want to go one step further and apply machine learning techniques on time-series data in order to have a deeper understanding of the properties of a given data point without any sorting and labelling. READ MORE

  6. 5. Recommender Systems for Movies Using a Class of Neural Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sabeen Nawaz; Sophie Remstam; [2018]
    Keywords : ;

    Abstract : In this project a recommendation system for suggesting movies is implemented, in the field of Collaborative Filtering (CF). The system is created with a Restricted Boltzmann Machine (RBM), which is a two-layer neural network. The main tool used for programming the RBM is the TensorFlow library, imported to Python. READ MORE