Essays about: "Graph Kernel"

Showing result 1 - 5 of 9 essays containing the words Graph Kernel.

  1. 1. Semi-supervised Sentiment Analysis for Sentence Classification

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Eirini Tsakiri; [2022]
    Keywords : sentiment analysis; text classification; semi-supervised learning; machine learning;

    Abstract : In our work, we deploy semi-supervised learning methods to perform Sentiment Analysis on a corpus of sentences, meant to be labeled as either happy, neutral, sad, or angry. Sentence-BERT is used to obtain high-dimensional embeddings for the sentences in the training and testing sets, on which three classification methods are applied: the K-Nearest Neighbors classifier (KNN), Label Propagation, and Label Spreading. READ MORE

  3. 2. Visualizing large page mappings : A tool to understand memory mappings of program

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Robin Olsson; [2021]
    Keywords : ;

    Abstract : Larger page file sizes were introduced to increase the TLB's reach. Although using large pages might improve performance, it might also introduce performance degradation. READ MORE

  4. 3. Bayesian Optimization for Neural Architecture Search using Graph Kernels

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

    Author : Bharathwaj Krishnaswami Sreedhar; [2020]
    Keywords : Neural architecture search; Bayesian optimization; Graph kernels; Graph convolutional networks; Neural architecture search; Bayesian optimization; Graph kernels; Graph convolutional networks;

    Abstract : Neural architecture search is a popular method for automating architecture design. Bayesian optimization is a widely used approach for hyper-parameter optimization and can estimate a function with limited samples. READ MORE

  5. 4. Statistical Learning and Analysis on Homology-Based Features

    University essay from KTH/Matematisk statistik

    Author : Jens Agerberg; [2020]
    Keywords : Applied topology; topological data analysis; TDA; persistent homology; machine learning; Topologisk dataanalys; maskininlärning;

    Abstract : Stable rank has recently been proposed as an invariant to encode the result of persistent homology, a method used in topological data analysis. In this thesis we develop methods for statistical analysis as well as machine learning methods based on stable rank. READ MORE

  6. 5. Map change detection using GPS position data

    University essay from Lunds universitet/Matematik LTH

    Author : Lina Sjöstrand; Fanny Andersson; [2018]
    Keywords : autonomous driving; change detection; map inference; GPS; road network; HMM; Viterbi algorithm; OSM; map matching; crowd-sourced data; update maps; Technology and Engineering;

    Abstract : Technology advancement in autonomous driving is accelerating. For the technology to be safe it is crucial for the vehicles to have an updated map, meaning all vehicles should have a correct and identical representation of the current road network. READ MORE