|
|
Opponent Modelling in Games with Imperfect Information
Kovačič, Milan ; Schmid, Martin (advisor) ; Hartman, David (referee)
The main concern of this paper is the problem of opponent modeling. The goal of this work is to introduce reasonable selection of techniques, which model the opponent's behavior and use it in effective way. In this work I focused on explanation of fundamental terms, introduction of relevant techniques and safety of opponent modeling considering the game of poker. The research showed that effective opponent modeling is indeed possible with reasonable safety and surprising effectivity in comparison with pessimistic equilibrium techniques.
|
|
|
Legal issues of commercial and investment banking
Hartman, David ; Kotáb, Petr (advisor) ; Kohajda, Michael (referee)
This thesis is dedicated to the Financial Law, namely to a special part of this branch of law - Banking Law, with a special focus on legal aspects of commercial and investment banking. Its concentrates on the specifics of the universal banking system in related to system of the Czech Republic. Chapter 1 deals with the general terms and concepts of the bank regulation, namely on model of universal banking model, segmented banking model and hybrid banking model, presentation of different types of banks and/or other financial institutions, variety types of bank systems a shows difference concept of banking systems, and description of basic parts of commercial and investment banking and its models of regulations. Chapter 2 describes the banking system of the Czech Republic, its history, situation on the market, types of banking institutions on the markets and detail description of bank regulations on European and national level. Chapter 3 is connected with commercial banking systems. Describes main categories of services or products provided by the commercial banks in the Czech Republic and its legal regulation. This services or products consist in a form of Banking transactions. Chapter 4 looks in detail on a model of investment banking in the market of the Czech Republic, its history and regulations...
|
|
|
Legal issues of commercial and investment banking
Hartman, David ; Kotáb, Petr (advisor) ; Kohajda, Michael (referee)
This thesis is dedicated to the Financial Law, namely to a special part of this branch of law - Banking Law, with a special focus on legal aspects of commercial and investment banking. Its concentrates on the specifics of the universal banking system in related to system of the Czech republic. Chapter 1 deals with the general terms and concepts of the bank regulation, namely on model of universal banking model, segmented banking model and hybrid banking model, presentation of different types of banks and/or other financial institutions, variety types of bank systems a shows difference concept of banking systems, and description of basic parts of commercial and investment banking and its models of regulations. Chapter 2 describes the banking system of the Czech Republic, its history, situation on the market, types of banking institutions on the markets and detail description of bank regulations on European and national level. Chapter 3 looks in detail on a model of investment banking in the market of the Czech Republic, its history and regulations on European level, namely MiFID I. and MiFID II. Regulations and description of legal framework of providing investing services in the Czech Republic. Chapter 4 describes the actually legal problems of bank regulations after Financial crisis which brings a...
|
|
|
Structural properties of random networks with dynamics
Gajdová, Anna ; Hartman, David (advisor) ; Šámal, Robert (referee)
Real systems are often represented by so-called complex networks. These networks have a specific connectivity structure given by the specifics of the studied systems. Since often insufficient or inaccurate data are available, a common approach is to model these systems at the level of this connectivity using random networks replicating specific prop- erties such as ease of connectivity, modularity or specific sparsity. The representation of these properties in basic complex network models is a widely explored area. However, if the presence of edges is controlled by a specific distributions or if an element of the dynamics of the overall graph is added to the model, the analysis of such models be- comes more complex. This thesis aims to investigate the properties of such dynamically dependent random models. 1
|
|
|
Modular tool for parametric analysis of dynamical systems using complex networks
Hons, Tomáš ; Hartman, David (advisor) ; Hubička, Jan (referee)
Modelling of dynamical systems with complex internal structure is a complicated task which has more and more frequently been solved using complex networks capturing the structure of interactions among individual elements of the system. An important task of this process is the selection of suitable methods and their parameters by which we create the network and subsequently examine it. However, there is no tool that could automat- ically configure various parametrized analytical pipelines, enable executing all potential runs and compare their results. Such a tool would consequently allow selection of meth- ods and parameters most suitable for the system explored. This work presents the Neads library which is able to execute parametric analyses of general dynamical systems using complex networks, intermediate results being stored and available for subsequent calcula- tions as well as potential pipelines extensions. The tool has the potential to significantly accelerate scientific work in this area. 1
|
|
|
Applications of graph theory in protein function prediction
Kalábová, Nikola ; Hartman, David (advisor) ; Kratochvíl, Miroslav (referee)
The rapid development of the whole-genome sequencing methods and their reducing cost resulted in a huge number of sequenced genomes. Developing reliable methods for in- silico annotation of the expeditiously growing number of sequenced genomes is the next challenge of modern biology. We described a graph-theoretical approach for function prediction from the protein-protein interaction networks and outlined its strengths and weaknesses. We illustrate the principles of this approach on selected algorithms based on different ideas and provide their comparison and evaluation. 1
|
|
|
Vlastnosti síťových centralit
Pokorná, Aneta ; Hartman, David (advisor) ; Balko, Martin (referee)
The need to understand the structure of complex networks increases as both their complexity and the dependency of human society on them grows. Network centralities help to recognize the key elements of these networks. Betweenness centrality is a network centrality measure based on shortest paths. More precisely, the contribution of a pair of vertices u, v to a vertex w ̸= u, v is the fraction of the shortest uv-paths which lead through w. Betweenness centrality is then given by the sum of contributions of all pairs of vertices u, v ̸= w to w. In this work, we have summarized known results regarding both exact values and bounds on betweenness. Additionally, we have improved an existing bound and obtained more exact formulation for r-regular graphs. We have made two major contributions about betweenness uniform graphs, whose vertices have uniform betweenness value. The first is that all betweenness uniform graphs of order n with maximal degree n − k have diameter at most k, by which we have solved a conjecture posed in the literature. The second major result is that betweenness uniform graphs nonisomorphic to a cycle that are either vertex- or edge-transitive are 3-connected, by which we have partially solved another conjecture. 1
|
|
|
MAT TRIAD 2019: Book of Abstracts
Bok, J. ; Hartman, David ; Hladík, M. ; Rozložník, Miroslav
This volume contains the Book of abstracts of the 8th International Conference on Matrix Analysis and its Applications, MAT TRIAD 2019. The MATTRIAD conferences represent a platform for researchers in a variety of aspects of matrix analysis and its interdisciplinary applications to meet and share interests and ideas. The conference topics include matrix and operator theory and computation, spectral problems, applications of linear algebra in statistics, statistical models, matrices and graphs as well as combinatorial matrix theory and others. The goal of this event is to encourage further growth of matrix analysis research including its possible extension to other fields and domains.
|
|
|
Speed of sound prediction
Řežábková, Jana ; Hartman, David (advisor) ; Brabec, Marek (referee)
This bachelor thesis presents a novel approach for speed of sound pre- diction in aqueous electrolytic solutions using machine learning techniques. A single model capable of accurately predicting the speed of sound in se- lected electrolytic aqueous solutions at different temperatures and molalities is trained. The machine learning experiment is designed to exploit the dis- sociation of electrolytes in water. Electrolytes are viewed as cation/anion pairs. Therefore, electrolyte description is based purely on its constituting ions. This approach allows to view the available data as a matrix in which rows represent cations, columns anions and each cell a full electrolyte. The idea of being able to fill cells for which no speed of sound data is yet avail- able is tested within the thesis. The final model's accuracy is compared to existent research on speed of sound prediction. However, some of the model approaches are novel and have no existing comparable settings. 1
|
|
|
Powers of interval matrices
Říha, David ; Hartman, David (advisor) ; Matonoha, Ctirad (referee)
The aim of this thesis is to analyse methods of how to calculate the interval enclosure of interval matrix powers, investigate special cases where exponentiation is easier than in the general case and those methods implement to software MATLAB. In the thesis will be introduced two algorithms for calculations of interval enclosure of general interval matrix. First uses spectral decomposition, thus the decomposition based on eigenvalues and eigenvectors and the second one is based on well- known binary exponentiation. Special cases include for example non-negative interval matrices or cube power of diagonally interval matrices. For researched methods, the theory on which they are built, are explained and the methods themselves are described both verbally and by code. At the end is done the testing of quality for the interval enclosures and time complexity of calculations.
|
guest ::
RSS feed.