Sökning: "learning problems in mathematics"

Visar resultat 11 - 15 av 80 avhandlingar innehållade orden learning problems in mathematics.

  1. 11. Position Estimation in Uncertain Radio Environments and Trajectory Learning

    Författare :Yuxin Zhao; Fredrik Gunnarsson; Fredrik Gustafsson; Carsten Fritsche; Henk Wymeersch; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : To infer the hidden states from the noisy observations and make predictions based on a set of input states and output observations are two challenging problems in many research areas. Examples of applications many include position estimation from various measurable radio signals in indoor environments, self-navigation for autonomous cars, modeling and predicting of the traffic flows, and flow pattern analysis for crowds of people. LÄS MER

  2. 12. Applications of Diversity and the Self-Attention Mechanism in Neural Networks

    Författare :Axel Berg; Matematik LTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; point cloud; self-attention; keyword spotting; deep learning; computer vision; machine learning; label diversity;

    Sammanfattning : This thesis covers three contributions in applications of neural networks. The first is related to diversity and ensemble learning, while the other two cover novel applications of the self-attention mechanism. An important aspect of training a neural network is the choice of objective function. LÄS MER

  3. 13. Large-scale simulation-based experiments with stochastic models using machine learning-assisted approaches : Applications in systems biology using Markov jump processes

    Författare :Fredrik Wrede; Andreas Hellander; Ramon Grima; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; systems biology; stochastic simulation; model exploration; approximate parameter inference; machine learning; distributed computing; Beräkningsvetenskap; Scientific Computing;

    Sammanfattning : Discrete and stochastic models in systems biology, such as biochemical reaction networks, can be modeled as Markov jump processes. The chemical master equation describes how the probability distribution of a biochemical system's states evolves. Unfortunately, solutions to the chemical master equation only exist for trivial problems. LÄS MER

  4. 14. Deep neural networks for electromagnetics applied to optimization and inverse problems

    Författare :Simon Stenmark; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; calibration; optimization; Inverse problems; normalization; deep learning; neural networks;

    Sammanfattning : This thesis explores the possibilities to complement full-wave electromagnetic solvers with fully-connected neural networks. We emphasize problems that must be solved a very large number of times in a limited parameter domain. We present and evaluate the normalization method ForwardNorm. LÄS MER

  5. 15. "Vad skulle x kunna vara?" : andragradsekvation och andragradsfunktion som objekt för lärande

    Författare :Constanta Olteanu; Shirley Booth; Torgny Ottosson; Ingemar Holgersson; Umeå universitet; []
    Nyckelord :SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURAL SCIENCES; NATURVETENSKAP; parameters; unknown quantity; argument; second degree equations; quadratic functions; teaching; mathematics education; experience; theory of variation; dimensions of variation; Education; Pedagogik; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; MATHEMATICS; MATEMATIK;

    Sammanfattning : Algebraic equations and functions play an important role in various mathematical topics, including algebra, trigonometry, linear programming and calculus. Accordingly, various documents, such as the most recent Swedish curriculum (Lpf 94) for upper secondary school and the course syllabi in mathematics, specify what the students should learn in Mathematics Course B. LÄS MER