Essays about: "timing training"

Showing result 1 - 5 of 15 essays containing the words timing training.

  1. 1. Estimation of Voltage Drop in Power Circuits using Machine Learning Algorithms : Investigating potential applications of machine learning methods in power circuits design

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

    Author : Dimitrios Koutlis; [2023]
    Keywords : Voltage drop estimation; Application-specific Integrated Circuits ASICs ; Machine learning algorithms; XGBoost; Convolutional Neural Networks; Graph Neural Networks; Power circuit optimization; Uppskattning av spänningsfall; applikationsspecifika integrerade kretsar ASIC ; maskininlärningsalgoritmer; XGBoost; konvolutionella neurala nätverk; optimering av strömkretsar;

    Abstract : Accurate estimation of voltage drop (IR drop), in Application-Specific Integrated Circuits (ASICs) is a critical challenge, which impacts their performance and power consumption. As technology advances and die sizes shrink, predicting IR drop fast and accurate becomes increasingly challenging. READ MORE

  2. 2. Ridlärares instruktioner utifrån principerna för hästens inlärning

    University essay from SLU/Dept. of Anatomy, Physiology and Biochemistry

    Author : Julia Kallin; Alice Leander; [2023]
    Keywords : Ridlektion; operant inlärning; klassisk betingning; negativ förstärkning; positiv förstärkning; positiv bestraffning; negativ bestraffning;

    Abstract : Under ridlektioner finns det tre komponenter att ta hänsyn till: ridläraren, eleven och hästen. En ridlärares uppgift är att lära eleven att rida och kommunicera med hästen som är ett stort djur med stark flyktinginstinkt. READ MORE

  3. 3. 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 a human expert. Based on the inherent complexity and the strategical interplay between the players of an RTS game, it is hypothesized that data sets of played games exhibit clustering properties as a result of the actions made by the players. READ MORE

  4. 4. Timing Predictions in Vasaloppet using Supervised Machine Learning

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Karl Ekström; [2020]
    Keywords : Machine Learning; Timing prediction; Vasaloppet;

    Abstract : Timings at future controls in Vasaloppet were predicted using timings at past and current controls. Predictions were made using linear regression, deep neural networks and support vector machine regression. Timings up to the current control and age were used as input data; predicted timing at a future control was used as output data. READ MORE

  5. 5. Exploring the realm of culture within management : The effects of fully integrated relocation services on cross-cultural learning and adjustment

    University essay from Uppsala universitet/Företagsekonomiska institutionen

    Author : Shamin Armaki; [2019]
    Keywords : cross-cultural training; cross-cultural adjustment; cross-cultural learning; sequential training; fully integrated relocation services;

    Abstract : Expatriates’ adjustment to the host-country culture is a dynamic and gradual process. This process can be facilitated by cross-cultural training. READ MORE