Sökning: "preprocessing"

Visar resultat 1 - 5 av 183 uppsatser innehållade ordet preprocessing.

  1. 1. Classification of a Sensor Signal Attained By Exposure to a Complex Gas Mixture

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Rabnawaz Jan Sher; [2021]
    Nyckelord :Classification; Random Forest; Linear Discriminant Analysis; Naive Bayes; Principal Component Analysis; Drift; Baseline Compensation; Normalization; Sensor; Signal Preprocessing.;

    Sammanfattning : This thesis is carried out in collaboration with a private company, DANSiC AB This study is an extension of a research work started by DANSiC AB in 2019 to classify a source. This study is about classifying a source into two classes with the sensitivity of one source higher than the other as one source has greater importance. LÄS MER

  2. 2. Flight Sorting Algorithm Based on Users’ Behaviour

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Qingyan Ben; [2021]
    Nyckelord :Ranking systems; recommendation systems; machine learning; deep learning; data balance; Rankningssystem; rekommendationssystem; maskininlärning; djupinlärning; databalans;

    Sammanfattning : The model predicts the best flight order and recommend best flight to users. The thesis could be divided into the following three parts: Feature choosing, data-preprocessing, and various algorithms experiment. LÄS MER

  3. 3. Evaluation of Sentence Representations in Semantic Text Similarity Tasks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Nils Balzar Ekenbäck; [2021]
    Nyckelord :sentence representations; semantic text similarity; sentence simi-larity; word embeddings; sentence embeddings; meningsrepresentation; semantisk textlikhet; meningslikhet; or-dinbäddningar; meningsinbäddningar;

    Sammanfattning : This thesis explores the methods of representing sentence representations for semantic text similarity using word embeddings and benchmarks them against sentence based evaluation test sets. Two methods were used to evaluate the representations: STS Benchmark and STS Benchmark converted to a binary similarity task. LÄS MER

  4. 4. How to improve Swedish sentiment polarityclassification using context analysis

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för lingvistik och filologi; Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Ludvig Nilsson; Olle Djerf; [2021]
    Nyckelord :Context analysis; machine learning; Natural Language Processing;

    Sammanfattning : This thesis considers sentiment polarity analysis in Swedish. De-spite being the most widely spoken of the Nordic languages less re-search in sentiment has been conducted in this area compared toneighboring languages. As such this is a largely exploratory projectusing techniques that have shown positive results for other languages. LÄS MER

  5. 5. A Comparison on Supervised and Semi-Supervised Machine Learning Classifiers for Diabetes Prediction

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Lokesh Kola; Vigneshwar Muriki; [2021]
    Nyckelord :Machine Learning; Semi-supervised Learning; Supervised Learning; Diabetes Prediction;

    Sammanfattning : Background: The main cause of diabetes is due to high sugar levels in the blood. There is no permanent cure for diabetes. However, it can be prevented by early diagnosis. In recent years, the hype for Machine Learning is increasing in disease prediction especially during COVID-19 times. LÄS MER