Search for dissertations about: "Bayes"

Showing result 1 - 5 of 35 swedish dissertations containing the word Bayes.

  1. 1. Empirical Bayes Methods for DNA Microarray Data

    University dissertation from Uppsala : Matematiska institutionen

    Author : Ingrid Lönnstedt; Uppsala universitet.; [2005]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Mathematical statistics; two-channel microarrays; differential expression; replication; empirical Bayes; factorial design; interaction; time trends; hierarchical Bayes; MCMC simulations; ANOVA; F-statistics; Matematisk statistik; MATHEMATICS Applied mathematics Mathematical statistics; MATEMATIK Tillämpad matematik Matematisk statistik;

    Abstract : cDNA microarrays is one of the first high-throughput gene expression technologies that has emerged within molecular biology for the purpose of functional genomics. cDNA microarrays compare the gene expression levels between cell samples, for thousands of genes simultaneously. READ MORE

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

    University dissertation from Matematiska institutionen

    Author : Magnus Ekdahl; Linköpings universitet.; Linköpings universitet.; [2006]
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Pattern Recognition; Stochastic Complexity; Naïve Bayes; Bayesian Network; Classification; Clustering; Chow-Liu trees; MATHEMATICS Applied mathematics Mathematical statistics; MATEMATIK Tillämpad matematik 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

  3. 3. Coping with Misbehavior in Mobile Ad-hoc Networks

    University dissertation from EPFL

    Author : Sonja Buchegger; [2004]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; mobile ad-hoc networks; incentives; cooperation; reputation systems; Bayes; SRA - ICT; SRA - Informations- och kommunikationsteknik;

    Abstract : n this work, we address the question of how to enable a system to operate despite the presence of misbehavior. Specifically, in a mobile ad-hoc network, how can we keep the network functional for normal nodes when other nodes do not route and forward correctly? Node misbehavior due to selfish or malicious reasons or faulty nodes can significantly degrade the performance of mobile ad-hoc networks. READ MORE

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

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Philip Tully; KTH.; [2017]
    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; Datalogi; Computer Science;

    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. 5. On the Selection and Classification of Features for Speaker Recognition

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Guillermo Garcia; [2010]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; feature extraction; mutual information; estimation; phase information.; Bayes procedures; speaker recognition; discriminative modeling;

    Abstract : Speaker recognition is theprocess of automatically recognizing who is spea- king based on information provided by speech signals. Speakerrecognition still has many unsolved problems; each person has aunique voice that makes him or her different from other people, andto recognize who is talking based only on the speech is not an easytask. READ MORE