Sökning: "unsupervised classification"
Visar resultat 36 - 40 av 114 uppsatser innehållade orden unsupervised classification.
36. Modeling and understanding customers preference for product sustainability information using Machine Learning techniques
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. Markets nowadays are increasingly competitive as many companies are focusing themselves on minimising their churn rate and maximising their growth rate of customers. LÄS MER
37. Automated Essay Scoring for English Using Different Neural Network Models for Text Classification
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : Written skills are an essential evaluation criterion for a student’s creativity, knowledge, and intellect. Consequently, academic writing is a common part of university and college admissions applications, standardized tests, and classroom assessments. However, the task for teachers is quite daunting when it comes to essay scoring. LÄS MER
38. Evaluating Unsupervised Methods for Out-of-Distribution Detection on Semantically Similar Image Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Out-of-distribution detection considers methods used to detect data that deviates from the underlying data distribution used to train some machine learning model. This is an important topic, as artificial neural networks have previously been shown to be capable of producing arbitrarily confident predictions, even for anomalous samples that deviate from the training distribution. LÄS MER
39. Machine Learning to Detect Anomalies in the Welding Process to Support Additive Manufacturing
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Additive Manufacturing (AM) is a fast-growing technology in manufacturing industries. Applications of AM are spread across a wide range of fields. The aerospace industry is one of the industries that use AM because of its ability to produce light-weighted components and design freedom. LÄS MER
40. Unsupervised Lexical Semantic Change Detection with Context-Dependent Word Representations
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : In this work, we explore the usefulness of contextualized embeddings from language models on lexical semantic change (LSC) detection. With diachronic corpora spanning two time periods, we construct word embeddings for a selected set of target words, aiming at detecting potential LSC of each target word across time. LÄS MER