Search for dissertations about: "naive bayes"

Showing result 1 - 5 of 11 swedish dissertations containing the words naive bayes.

  2. 1. Approximations of Bayes Classifiers for Statistical Learning of Clusters

    Author : Magnus Ekdahl; Timo Koski; Jukka Corander; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Pattern Recognition; Stochastic Complexity; Naïve Bayes; Bayesian Network; Classification; Clustering; Chow-Liu trees; Mathematical statistics; Matematisk statistik;

    Abstract : It is rarely possible to use an optimal classifier. Often the classifier used for a specific problem is an approximation of the optimal classifier. Methods are presented for evaluating the performance of an approximation in the model class of Bayesian Networks. READ MORE

  4. 2. Spike-Based Bayesian-Hebbian Learning in Cortical and Subcortical Microcircuits

    Author : Philip Tully; Anders Lansner; Matthias Hennig; Gordon Pipa; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Bayes rule; synaptic plasticity and memory modeling; intrinsic excitability; naïve Bayes classifier; spiking neural networks; Hebbian learning; neuromorphic engineering; reinforcement learning; temporal sequence learning; attractor network; Computer Science; Datalogi;

    Abstract : Cortical and subcortical microcircuits are continuously modified throughout life. Despite ongoing changes these networks stubbornly maintain their functions, which persist although destabilizing synaptic and nonsynaptic mechanisms should ostensibly propel them towards runaway excitation or quiescence. READ MORE

  5. 3. Incremental Clustering of Source Code : a Machine Learning Approach

    Author : Tobias Olsson; Morgan Ericsson; Sebastian Herold; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Naive Bayes; Source Code Clustering; Incremental Clustering; Software Architecture; Technical Debt; Computer Science; Datavetenskap;

    Abstract : Technical debt at the architectural level is a severe threat to software development projects. Uncontrolled technical debt that is allowed to accumulate will undoubtedly hinder speedy development and maintenance, introduce bugs and problems in the software product, and may ultimately result in the abandonment of the source code. READ MORE

  6. 4. Methods of solving conflicts among induced rules

    Author : Tony Lindgren; Henrik Boström; Johannes Fürnkranz; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; machine learning; rule conflicts; Computer and systems science; Data- och systemvetenskap;

    Abstract : When applying an unordered set of classification rules to classify an example, there may be several applicable rules with conflicting conclusions regarding the most probable class to which the example belongs. This problem of having rules assigning different classes to the same example must be addressed, if a classification is to be made. READ MORE

  7. 5. Question Classification in Question Answering Systems

    Author : Håkan Sundblad; Arne Jönsson; Jussi Karlgren; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Question classification; question answering; machine learning; taxonomy; evaluation; Computational linguistics; Datorlingvistik;

    Abstract : Question answering systems can be seen as the next step in information retrieval, allowing users to pose questions in natural language and receive succinct answers. In order for a question answering system as a whole to be successful, research has shown that the correct classification of questions with regards to the expected answer type is imperative. READ MORE