Search for dissertations about: "Geometric Networks"

Showing result 11 - 15 of 36 swedish dissertations containing the words Geometric Networks.

  2. 11. Word Sense Embedded in Geometric Spaces - From Induction to Applications using Machine Learning

    Author : Mikael Kågebäck; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; word sense induction; word sense disambiguation; word embeddings; extractive summarisation; neural networks; deep learning; natural language procsessing; reinforcement learning;

    Abstract : Words are not detached individuals but part of a beautiful interconnected web of related concepts, and to capture the full complexity of this web they need to be represented in a way that encapsulates all the semantic and syntactic facets of the language. Further, to enable computational processing they need to be expressed in a consistent manner so that similar properties are encoded in a similar way. READ MORE

  4. 12. Learning with Geometric Embeddings of Graphs

    Author : Fredrik Johansson; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Graphs are natural representations of problems and data in many fields. For example, in computational biology, interaction networks model the functional relationships between genes in living organisms; in the social sciences, graphs are used to represent friendships and business relations among people; in chemoinformatics, graphs represent atoms and molecular bonds. READ MORE

  5. 13. Critical Scaling in Particle Systems and Random Graphs

    Author : Vasilii Goriachkin; Matematisk statistik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; dissipative force; particles collisions; random graphs; random walks; martingales; geometric random graphs; neural networks; critical scaling; diffusion approximation;

    Abstract : The purpose of this thesis is to study the behavior of macro-systems through their micro-parameters. In particular, we are interested in finding critical scaling in various models.Paper I investigates the influence of discrete-time collisions on particle dynamics. READ MORE

  6. 14. Modeling of Protein Folding and Genetic Networks

    Author : Fredrik Sjunnesson; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Matematisk och allmän teoretisk fysik; thermodynamics; two-state folding; Protein folding; all-atom model; Mathematical and general theoretical physics; Kauffman model.; local update; Monte Carlo; classical mechanics; quantum mechanics; relativity; statistical physics; gravitation; klassisk mekanik; kvantmekanik; relativitet; statistisk fysik; termodynamik; Fysicumarkivet A:2003:Sjunnesson;

    Abstract : Models for potein folding are developed and applied to peptides and small proteins with both α-helix and β-sheet structure. The energy functions, in which effective hydrophobicity forces and hydrogen bonds are taken to be the two central terms, are sequence-based and deliberately kept simple. READ MORE

  7. 15. On Symmetries and Metrics in Geometric Inference

    Author : Giovanni Luca Marchetti; Danica Kragic; Anastasiia Varava; Emanuele Rodolà; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Computational Geometry; Voronoi; Delaunay; Symmetry; Equivariance; Datalogi; Computer Science;

    Abstract : Spaces of data naturally carry intrinsic geometry. Statistics and machine learning can leverage on this rich structure in order to achieve efficiency and semantic generalization. Extracting geometry from data is therefore a fundamental challenge which by itself defines a statistical, computational and unsupervised learning problem. READ MORE