Sökning: "LibSVM"
Visar resultat 1 - 5 av 8 uppsatser innehållade ordet LibSVM.
1. Training Machine Learning-based QSAR models with Conformal Prediction on Experimental Data from DNA-Encoded Chemical Libraries
Master-uppsats, Uppsala universitet/Institutionen för farmaceutisk biovetenskapSammanfattning : DNA-encoded chemical libraries (DEL) allows an exhaustive chemical space sampling with a large-scale data consisting of compounds produced through combinatorial synthesis. This novel technology was utilized in the early drug discovery stages for robust hit identification and lead optimization. LÄS MER
2. Predicting Target Profile using Cross Venn-ABERS Predictors
Master-uppsats, Uppsala universitet/Institutionen för farmaceutisk biovetenskapSammanfattning : In this thesis, Cross Venn-ABERS Predictors (CVAPs) were used as aConformal Prediction technique on an Support Vector Machines (SVM)Algorithm as the underlying algorithm. The datasets, one for each target,were extracted from ChEMBL 24.1 database. LÄS MER
3. Classification of Hate Tweets and Their Reasons using SVM
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för datalogiSammanfattning : Denna studie fokuserar på att klassificera hat-meddelanden riktade mot mobiloperatörerna Verizon, AT&T and Sprint. Huvudsyftet är att med hjälp av maskininlärningsalgoritmen Support Vector Machines (SVM) klassificera meddelanden i fyra kategorier - Hat, Orsak, Explicit och Övrigt - för att kunna identifiera ett hat-meddelande och dess orsak. LÄS MER
4. Signal Classification Implemented by Wavelet Analysis and Support Vector Machine
Master-uppsats, Avdelningen för elektronik, matematik och naturvetenskapSammanfattning : In this thesis, a method for signal classification has been developed and implemented on the platform of Matlab and Libsvm, which combines the techniques of wavelet analysis and support vector machine. The whole process is divided into three stages i.e. Signal Generation, Feature Extraction and Classification. LÄS MER
5. Classification and prediction for flying objects based on behavior model
Master-uppsats, Mittuniversitetet/Avdelningen för elektronikkonstruktionSammanfattning : This master thesis relates to machine vision system and object classification. The aim of this paper is to classify the flying objects in images in a computer vision system, for example, an eagle, kite or airplane. LÄS MER