Essays about: "Function Approximation"

Showing result 1 - 5 of 122 essays containing the words Function Approximation.

  1. 1. Squaring VEGAS -- Multidimensional Integration Using 2D Correlations

    University essay from Lunds universitet/Teoretisk partikelfysik

    Author : Philip Siemund; [2021]
    Keywords : statistics; numerical integration; Monte Carlo integration; VEGAS; Physics and Astronomy;

    Abstract : Multidimensional integrals are used in many areas of physics; electrodynamics, quantum mechanics and statistical physics, to name a few. Many integrals can not be solved analytically, but can instead be approximated numerically. VEGAS is a Monte Carlo integration algorithm, which specializes it in approximating multidimensional integrals. READ MORE

  2. 2. Pushing the boundary of Semantic Image Segmentation

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

    Author : Shipra Jain; [2020]
    Keywords : Deep Learning; computer vision; semantic segmentation; metric learning; contrastive learning; Djup lärning; datorsyn; semantisk segmentering; metrisk inlärning; kontrastivt lärande;

    Abstract : The state-of-the-art object detection and image classification methods can perform impressively on more than 9k classes. In contrast, the number of classes in semantic segmentation datasets are fairly limited. This is not surprising , when the restrictions caused by the lack of labeled data and high computation demand are considered. READ MORE


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

    Author : Sabarish Sridhar; [2020]
    Keywords : Autonomous Driving; Reinforcement Learning; Dyna-2 Architecture; Function Approximation; Feature Selection; Machine Learning.; Autonom körning; Förstärkningsinlärning; Dyna-2 Arkitektur; Funktionsapproximering; Attributval; Maskininlärning.;

    Abstract : Traffic coordination is an essential challenge in vehicle automation. The challenge is not only about maximizing the revenue/productivity of a fleet of vehicles, but also about avoiding non feasible states such as collisions and low energy levels, which could make the fleet inoperable. READ MORE

  4. 4. American option prices and optimal exercise boundaries under Heston Model–A Least-Square Monte Carlo approach

    University essay from Mälardalens högskola/Akademin för utbildning, kultur och kommunikation; Mälardalens högskola/Akademin för utbildning, kultur och kommunikation

    Author : Omar Mohammad; Rafi Khaliqi; [2020]
    Keywords : options; pricing; american; Monte-Carlo; Least square; heston model; stochastic; volatility; early exercise boundary volatility;

    Abstract : Pricing American options has always been problematic due to its early exercise characteristic. As no closed-form analytical solution for any of the widely used models exists, many numerical approximation methods have been proposed and studied. READ MORE

  5. 5. Gate Recurrent Unit Neural Networks for Hearing Instruments

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Harshit Sharma; Pallavi Rajanna; [2020]
    Keywords : Keyword Spotting; GRU; Gated; Recurrent; Unint; RNN; Hearing Instruments; Hearing; Instruments.; Technology and Engineering;

    Abstract : Gated Recurrent Unit (GRU) neural networks have gained popularity for applications such as keyword spotting, speech recognition and other artificial intelligence applications. Typically for most applications training and inference is performed on cloud servers, and the result are transferred to the power constrained device, e.g. READ MORE