Search for dissertations about: "supervised classification"
Showing result 1 - 5 of 50 swedish dissertations containing the words supervised classification.
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1. Classification models for high-dimensional data with sparsity patterns
Abstract : 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. READ MORE
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2. Semi-supervised learning with self-supervision for closed and open sets
Abstract : 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. READ MORE
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3. Automated Malware Detection and Classification Using Supervised Learning
Abstract : 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. READ MORE
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4. Classification and Computational Methods in Gene Expression Data Analysis
Abstract : 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. READ MORE
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5. Evaluation and Analysis of Supervised Learning Algorithms and Classifiers
Abstract : 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. READ MORE