Avancerad sökning

Visar resultat 1 - 5 av 52 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Classification models for high-dimensional data with sparsity patterns

   Författare :Annika Tillander; Tatjana Pavlenko; Daniel Thorburn; Patrik Ryden; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; High-dimensionality; supervised classification; classification accuracy; sparse; block-diagonal covariance structure; graphical Lasso; separation strength; discretization; Statistics; statistik;

   Sammanfattning : Today's high-throughput data collection devices, e.g. spectrometers and gene chips, create information in abundance. However, this poses serious statistical challenges, as the number of features is usually much larger than the number of observed units. LÄS MER

3. 2. Semi-supervised learning with self-supervision for closed and open sets

   Författare :Erik Wallin; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; classification; Semi-supervised learning; open-set semi-supervised learning; deep learning;

   Sammanfattning : Semi-supervised learning (SSL) is a learning framework that enables the use of unlabeled data with labeled data. These methods play a crucial role in reducing the burden of human labeling in training deep learning models. Many methods for SSL learn from unlabeled data through confidence-based pseudo-labeling. LÄS MER

4. 3. Automated Malware Detection and Classification Using Supervised Learning

   Författare :Raja Muhammad Khurram Shahzad; Niklas Lavesson; Martin Boldt; Welf Löwe; Blekinge Tekniska Högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Malware Detection; Android Malware; Machine Learning; Static Malware Analysis; Cyber Security; Ensemble learning; Supervised Learning; Feature Selection; Computer Science; Datavetenskap;

   Sammanfattning : Malware has been one of the key concerns for Information Technology security researchers for decades. Every year, anti-malware companies release alarming statistics suggesting a continuous increase in the number and types of malware. LÄS MER

5. 4. Classification and Computational Methods in Gene Expression Data Analysis

   Författare :Cecilia Ritz; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bioinformatik; medicinsk informatik; Bioinformatics; medical informatics; biomathematics biometrics; missing values; leukemia; cDNA microarray data; supervised classification; breast cancer; prognostic markers; biomatematik;

   Sammanfattning : The technology of cDNA microarrays has given us the possibility to monitor the state of cells by measuring the activity of thousands of genes simultaneously. This high-throughput techniqe has in cancer research allowed exploratory studies of molecular mechanisms behind for example metastasis and response to therapy. LÄS MER

7. 5. Evaluation and Analysis of Supervised Learning Algorithms and Classifiers

   Författare :Niklas Lavesson; Sweden Blekinge Institute of Technology School of Engineering Department of Systems and Software Engineering; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; machine learning; evaluation; classification;

   Sammanfattning : The fundamental question studied in this thesis is how to evaluate and analyse supervised learning algorithms and classifiers. As a first step, we analyse current evaluation methods. Each method is described and categorised according to a number of properties. LÄS MER