Essays about: "neurala nätverk"

Showing result 1 - 5 of 222 essays containing the words neurala nätverk.

  1. 1. Machine Learning Based Prediction and Classification for Uplift Modeling

    University essay from KTH/Matematisk statistik; KTH/Matematisk statistik

    Author : Lovisa Börthas; Jessica Krange Sjölander; [2020]
    Keywords : Uplift Modeling; Data Pre-Processing; Predictive Modeling; Incremental Modeling; Random Forests; Logistic Regression; Neural Networks; Ensemble Methods; Machine Learning; Multi-Layer Perceptron; Inkrementell responsanalys; databehandling; prediktiv modellering; random forests; logistisk regression; neurala nätverk; mulit-layer perceptron; ensemble metoder; maskininlärning;

    Abstract : The desire to model the true gain from targeting an individual in marketing purposes has lead to the common use of uplift modeling. Uplift modeling requires the existence of a treatment group as well as a control group and the objective hence becomes estimating the difference between the success probabilities in the two groups. READ MORE

  2. 2. Malignant Melanoma Classification with Deep Learning

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Jakob Kisselgof; [2019]
    Keywords : Melanoma classification deep learning;

    Abstract : Malignant melanoma is the deadliest form of skin cancer. If correctly diagnosed in time, the expected five-year survival rate can increase up to 97 %. Therefore, exploring various methods for early detection can contribute with tools which can be used to improve detection of disease and finally to make sure that help is given in time. READ MORE

  3. 3. Providing Mass Context to a Pretrained Deep Convolutional Neural Network for Breast Mass Classification

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

    Author : Lovisa Montelius; George Rezkalla; [2019]
    Keywords : Deep learning; Convolutional neural network; Transfer learning; Computer-aided diagnosis; Breast cancer; Breast mass classification; Breast mass context; ;

    Abstract : Breast cancer is one of the most common cancers among women in the world, and the average error rate among radiologists during diagnosis is 30%. Computer-aided medical diagnosis aims to assist doctors by giving them a second opinion, thus decreasing the error rate. READ MORE

  4. 4. Unsupervised anomaly detection in time series with recurrent neural networks

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

    Author : Josef Haddad; Carl Piehl; [2019]
    Keywords : ;

    Abstract : Artificial neural networks (ANN) have been successfully applied to a wide range of problems. However, most of the ANN-based models do not attempt to model the brain in detail, but there are still some models that do. An example of a biologically constrained ANN is Hierarchical Temporal Memory (HTM). READ MORE

  5. 5. Nonlinear Approximative Explicit Model Predictive Control Through Neural Networks : Characterizing Architectures and Training Behavior

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

    Author : Tobias Bolin; [2019]
    Keywords : ;

    Abstract : Model predictive control (MPC) is a paradigm within automatic control notable for its ability to handle constraints. This ability come at the cost of high computational demand, which until recently has limited use of MPC to slow systems. READ MORE