9,743 research outputs found
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
No full textAn important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen approximation technique develops locally optimal approximations, such as accurate classification estimates, Q-value predictions, or linear function approximations. The genetic optimization technique is designed to distribute these local approximations efficiently over the problem space. Together, the two components develop a distributed, locally optimized problem solution in the form of a population of expert rules, often called classifiers. In function approximation problems, the XCSF classifier system develops a problem solution in the form of overlapping, piecewise linear approximations. This paper shows that XCSF performance on function approximation problems additively benefits from: 1) improved representations; 2) improved genetic operators; and 3) improved approximation techniques. Additionally, this paper introduces a novel closest classifier matching mechanism for the efficient compaction of XCS's final problem solution. The resulting compaction mechanism can boil the population size down by 90% on average, while decreasing prediction accuracy only marginally. Performance evaluations show that the additional mechanisms enable XCSF to reliably, accurately, and compactly approximate even seven dimensional functions. Performance comparisons with other, heuristic function approximation techniques show that XCSF yields competitive or even superior noise-robust performance
Self-adaptive mutation in XCSF
No full textABSTRACT Recent advances in XCS technology have shown that selfadaptive mutation can be highly useful to speed-up the evolutionary progress in XCS. Moreover, recent publications have shown that XCS can also be successfully applied to challenging real-valued domains including datamining, function approximation, and clustering. In this paper, we combine these two advances and investigate self-adaptive mutation in the XCS system for function approximation with hyperellipsoidal condition structures, referred to as XCSF in this paper. It has been shown that XCSF solves function approximation problems with an accuracy, noise robustness, and generalization capability comparable to other statistical machine learning techniques and that XCSF outperforms simple clustering techniques to which linear approximations are added. This paper shows that the right type of selfadaptive mutation can further improve XCSF's performance solving problems more parameter independent and more reliably. We analyze various types of self-adaptive mutation and show that XCSF with self-adaptive mutation ranges, differentiated for the separate classifier condition values, yields most robust performance results. Future work may further investigate the properties of the self-adaptive values and may integrate advanced self-adaptation techniques
Case Comment: Martin v Kogan
No full textComments on Martin v Kogan (IPEC), setting out the applicable tests for joint authorship, and accordingly, whether the defendant's contribution rendered her joint author of the claimant's screenplay. Considers the case's contribution to determining what is "substantial" for the purposes of the Copyright, Designs and Patents Act 1988 s.10(1) and its consequences for the creative industries and practitioners in the field
Interactions of L-3,5,3'-Triiodothyronine, Allopregnanolone, and Ivermectin with the GABAA Receptor: Evidence for Overlapping Intersubunit Binding Modes
No full textStructural mechanisms of modulation of γ-aminobutyric acid (GABA) type A receptors by neurosteroids and hormones remain unclear. The thyroid hormone L-3,5,3’-triiodothyronine (T3) inhibits GABA-A receptors at micromolar concentrations and has common features with neurosteroids such as allopregnanolone (ALLOP). Here we use functional experiments on α2β1γ2 GABA-A receptors expressed in Xenopus oocytes to detect competitive interactions between T3 and an agonist (ivermectin, IVM) with a crystallographically determined binding site at subunit interfaces in the transmembrane domain of a homologous receptor (glutamate-gated chloride channel, GluCl). T3 and ALLOP also show competitive effects, supporting the presence of both a T3 and ALLOP binding site at one or more subunit interfaces. Molecular dynamics (MD) simulations over 200 ns are used to investigate the dynamics and energetics of T3 in the identified intersubunit sites. In these simulations, T3 molecules occupying all intersubunit sites (with the exception of the α-β interface) display numerous energetically favorable conformations with multiple hydrogen bonding partners, including previously implicated polar/acidic sidechains and a structurally conserved deformation in the M1 backbone.Peer reviewe
Analysis of the impact of FDI on macroeconomic variables (the example of the Czech Republic, Poland and Hungary)
No full textTato diplomová práce se zabývá dopady přímých zahraničních investic na makroekonomické veličiny České republiky, Polska a Maďarska. V teoretické části je rozebrán životní cyklus přímé investice a životní cyklus samotné tranzitivní ekonomiky. Dále práce navazuje souvislostí přímých investic a konvergence tranzitivní ekonomik. Rozebrán je crowding-in a crowding-out efekt PZI a udržitelnost záporné investiční pozice. V praktické části je ve statistickém programu EViews testována závislost importních a exportních hodnot na přílivu přímých zahraničních investic a závislost importu na exportu v zemích České republiky, Maďarska a Polska v letech 1993-2014.This thesis deals with the impact of FDI on macroeconomic variables of the Czech Republic, Poland and Hungary. The theoretical part analyzes the life cycle of direct investment and life cycle of transition economies. Afterwards thesis builds connections between direct investment and the convergence of transition economies. The author analyze the crowding-in and crowding-out effect of FDI and sustainability of the negative international investment position. In the practical part of thesis the statistical program EViews tested the dependence of import and export values on the inflow of foreign direct investment and import dependence on exports to countries Czech Republic, Hungary and Poland in the years 1993-2014
Virtual reality assessment of a high-calorie food bias: Replication and food-specificity in healthy participants
No full textReplication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network
No full textThis dataset contains diffusion-sorption data, generated with numerical simulation based on three different sorption isotherms, namely the linear, Freundlich, and Langmuir isotherms. This dataset is used to train, validate, and test all the deep learning models that are used in the publication "Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network". The dataset for each sorption isotherm includes the dissolved and total contaminant concentration data, as well as spatial coordinates and timestamps that correspond to the concentration data.
More detailed information is also provided in our Github repository (https://github.com/CognitiveModeling/finn) and our submitted paper to the Water Resources Research journal
Analýza ceny pronájmu bytu v pražských částech
No full textCílem práce je vytvořit cenový model, z něhož by autor mohl odvodit, zda je cena za metr čtvereční nájemních bytů pod nebo nad průměrnou tržní cenou za metr čtvereční nájemních bytů v katastrálních území Praze. Autor očekává, že cena za měsíc bude vyšší, čím blíže k centru Prahy se bude nájemní byt nacházet. Tato hypotéza je potvrzena všemi provedenými regresními analýzami, které zohledňují rozdělení Prahy podle různých lokací.The aim of the thesis is to develop a pricing model from where the author can derive whether the price per square meter of rental apartments is below or above the average market price per square meter of rental apartments in Prague per cadastral municipality, where possible. Author expects that price per month will be higher the closer to the center of Prague is the rental apartment located. This hypothesis is confirmed by all of the performed regression analysis that takes into account dummy variables controlling for location
Loajalita ke značce v restauračním průmyslu: význam celkového prospěchu pro zákazníka.
No full textThis thesis is devoted to the recent trends in building relationships with customers based on forming their loyalty in the restaurant industry. In the work the recent trends and technologies in marketing of restaurant business were defined and the importance of brand in the total process of business development for stimulating growth of sales was emphasized. Based on the conducted survey, the author states out which of the components of total consumer benefit is the most significant in building a brand loyalty in the restaurant industry in Prague. The thesis provides strategies of customer relationship management based on given results.Tato práce je věnována současným trendům v budování vztahů se zákazníky na základě utváření jejich loajality v restauračním průmyslu. V práci byly definovány současné trendy a technologie v oblasti marketingu restauračních služeb a byl zdůrazněn význam značky v celkovém procesu rozvoje podnikání pro stimulaci růstu tržeb. Na základě provedeného průzkumu autor uvádí, které ze složek celkového prospěchu pro spotřebitele jsou nejvýznamnější při budování věrnosti značce v restauračním průmyslu v Praze. Diplomová práce poskytuje strategie řízení vztahů se zákazníky na základě daných výsledků
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