Search for dissertations about: "Bayes rule"

Showing result 1 - 5 of 6 swedish dissertations containing the words Bayes rule.

  2. 1. 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

  4. 2. 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

  5. 3. On Data Mining and Classification Using a Bayesian Confidence Propagation Neural Network

    Author : Roland Orre; KTH; []
    Keywords : data mining; bcpnn; classification; neural network;

    Abstract : The aim of this thesis is to describe how a statisticallybased neural network technology, here named BCPNN (BayesianConfidence Propagation Neural Network), which may be identifiedby rewriting Bayes' rule, can be used within a fewapplications, data mining and classification with credibilityintervals as well as unsupervised pattern recognition.BCPNN is a neural network model somewhat reminding aboutBayesian decision trees which are often used within artificialintelligence systems. READ MORE

  6. 4. Sequential Monte Carlo Filters and Integrated Navigation

    Author : Per-Johan Nordlund; Fredrik Gustafsson; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : In this thesis we consider recursive Bayesian estimation in general, and sequential Monte Carlo filters in particular, applied to integrated navigation. Based on a large number of simulations of the model, the sequential Monte Carlo filter, also referred to as particle filter, provides an empirical estimate of the full posterior probability density of the system. READ MORE

  7. 5. Efficient Bayesian Planning

    Author : Divya Grover; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; POMDP; Partially Observable MDP; Planning; Bayesian Reinforcement Learning;

    Abstract : Artificial Intelligence (AI) is a long-studied and yet very active field of research. The list of things differentiating humans from AI grows thinner but the dream of an artificial general intelligence remains elusive. READ MORE