Essays about: "Regularisation Techniques"

Found 3 essays containing the words Regularisation Techniques.

  1. 1. Combined Regularisation Techniques for Artificial Neural Networks

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Joseph Binns; [2022]
    Keywords : Artificial Neural Networks; ANNs; Overfitting; Combined Regularisation Techniques; Regularisation Techniques; Regularisation; L2; Weight Decay; Dropout; Early Stopping; Physics and Astronomy;

    Abstract : Artificial neural networks are prone to overfitting – the process of learning details specific to a particular training data set. Success in preventing overfitting through combining the L2 and dropout regularisation techniques has led to the combination’s recent popularity. READ MORE

  3. 2. Application and Evaluation of Artificial Neural Networks in Solvency Capital Requirement Estimations for Insurance Products

    University essay from KTH/Matematisk statistik

    Author : Mattias Nilsson; Erik Sandberg; [2018]
    Keywords : ;

    Abstract : The least squares Monte Carlo (LSMC) approach is commonly used in the estimation of the solvency capital requirement (SCR), as a more computationally efficient alternative to a full nested Monte Carlo simulation. This study compares the performance of artificial neural networks (ANNs) to that of the LSMC approach in the estimation of the SCR of various financial portfolios. READ MORE

  4. 3. Machine learning in logistics : Increasing the performance of machine learning algorithms on two specific logistic problems

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Rasmus Lind Nilsson; [2017]
    Keywords : Machine learning; confusion matrix; performance; random forest; naïve bayes; logistic regression; cross-validation; regularisation;

    Abstract : Data Ductus, a multination IT-consulting company, wants to develop an AI that monitors a logistic system and looks for errors. Once trained enough, this AI will suggest a correction and automatically right issues if they arise. READ MORE