Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"co-training"”.
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Learning with Single View Co-training and Marginalized Dropout
… that 1) a sufficiently large quantity of training data is available; 2) the training and testing data come from some common distribution. Although these assumptions are often met in practice, there are also many scenarios in which training data from the relevant distribution is …
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Future of Personalized, Aligned Language Models
… for LLM adaptation due to their high inference cost. On the other hand, using Reinforcement Learning (RL) for adaptation is computationally efficient, but performs worse due to the optimization challenges in co-training the value function and the policy. We present a new framework for reward …
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Foundation Models for Protein Phenotype Prediction
… known functions and more than 40% missing context-specific functional insights. Even well-annotated proteins are often poorly characterized in diverse biological contexts, disease states, and perturbations. We present ProCyon, a foundation model for modeling, generating, and predicting …
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The information regularization framework for semi-supervised learning
… of classification shifted to algorithms for training the classifier from data that may be missing the class label. While traditional supervised classifiers already have the ability to cope with some incomplete data, the new type of classifiers do not view unlabeled data as an anomaly, and can …
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Adaptation and Control State Detection Techniques for Brain-Computer Interfaces
A brain computer interface (BCI) is an alternate channel of communication between the user and the computer, without having to go through the usual neuromuscular pathways. Using BCI, disabled patients can communicate with a computer or control a prosthetic device just by modulating his/her brain …
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Scene Monitoring With A Forest Of Cooperative Sensors
… within a busy environment using a forest of co-operative electro-optical (EO) sensors. We have developed novel video understanding algorithms with learning capability, to detect and categorize people and vehicles, track them with in a camera and hand-off this information across multiple …
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Probabilistic models for multi-view semi-supervised learning and coding
… distributed sensor networks. Reliable recognition in such settings hinges upon the ability to learn accurate classification models in the face of limited supervision and to cope with the relatively large amount of potentially redundant information transmitted by each sensor or modality …
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Making a Better Query: Find Good Feedback Documents and Terms via Semantic Associations
… based on term matching, documents will not be considered as relevant if they do not have the exact terms as in the query. However, it is common that these documents are relevant if they contain terms semantically similar to the query. To retrieve these documents, a classic way is to expand the …
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Formulating test oracles via anomaly detection techniques
… "oracle problem" (deciding the pass or fail outcome of a test execution) is still primarily an expensive and error-prone manual activity. This thesis presents an approach to build an automated test oracle using anomaly detection techniques (based on semi-supervised and unsupervised learning …
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Weakly Supervised Machine Learning for Cyberbullying Detection
… advent of social media has revolutionized human communication, significantly improving individuals' lives. It makes people closer to each other, provides access to enormous real-time information, and eases marketing and business. Despite its uncountable benefits, however, we must consider some of …
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Desenvolvimento profissional e formação docente: práticas co-formativas para a mudança da práxis pedagógica
… assistimos a uma preocupação de caráter urgente com as aprendizagens e com as competências desenvolvidas pelos jovens durante a vida escolar, numa perspetiva que participa do elevado grau de exigência dos desafios que se colocam em termos tecnológicos, sociais e até ambientais. Para responder …