Essays about: "neural networks"

Showing result 1 - 5 of 1114 essays containing the words neural networks.

  1. 1. Deep learning exotic derivatives

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Gunnlaugur Geirsson; [2021]
    Keywords : deep learning; neural networks; derivative pricing; automatic differentiation; Monte Carlo; transfer learning; structured products; risk sensitivities; valuation; autocalls;

    Abstract : Monte Carlo methods in derivative pricing are computationally expensive, in particular for evaluating models partial derivatives with regard to inputs. This research proposes the use of deep learning to approximate such valuation models for highly exotic derivatives, using automatic differentiation to evaluate input sensitivities. READ MORE

  2. 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

  3. 3. Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Fredrik Skärberg; [2020-11-26]
    Keywords : Deep learning; convolutional neural networks; image analysis; semantic segmentation; focused ion beam scanning electron microscopy; porous materials; controlled drug release;

    Abstract : Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopytechnique for 3D imaging of porous materials. We investigate three poroussamples of ethyl cellulose microporous films made from ethyl cellulose and hydroxypropylcellulose (EC/HPC) polymer blends. READ MORE

  4. 4. Clustering and Classification of Time Series in Real-Time Strategy Games - A machine learning approach for mapping StarCraft II games to clusters of game state time series while limited by fog of war

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Olof Enström; Fredrik Hagström; John Segerstedt; Fredrik Viberg; Arvid Wartenberg; David Weber Fors; [2020-10-29]
    Keywords : Classification problem; Cluster analysis; Hierarchical clustering; Machine learning; Neural network; Random forest; Real-time strategy; StarCraft II; Time series;

    Abstract : Real-time strategy (RTS) games feature vast action spaces and incomplete information,thus requiring lengthy training times for AI-agents to master them at the level of ahuman expert. Based on the inherent complexity and the strategical interplay betweenthe players of an RTS game, it is hypothesized that data sets of played games exhibitclustering properties as a result of the actions made by the players. READ MORE

  5. 5. Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning

    University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Author : Tian Wang; [2020-09-01]
    Keywords : mild cognitive impairment; sibjective cognitive impairment; natural language processing; support vector machine; neural networks;

    Abstract : Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a selfreported decline in cognitive abilities but not clinically identified as MCI. READ MORE