Výsledky vyhledávání - Theory of computation → Graph algorithms analysis

Optimization Problems in Graph Theory In Honor of Gregory Z. Gutin's 60th Birthday /

Submodular Rate Region Models for Multicast Communication in Wireless Networks Autor Riemensberger, Maximilian

Combinatorial Optimization Theory and Algorithms / Autor Korte, Bernhard

Soft Computing: Theories and Applications Proceedings of SoCTA 2016, Volume 1 /

Introduction to Averaging Dynamics over Networks Autor Fagnani, Fabio

Applied Linear Algebra and Matrix Analysis Autor Shores, Thomas S.

Stochastic Processes and Applications SPAS2017, Västerås and Stockholm, Sweden, October 4-6, 2017 /

Time Series Analysis and Forecasting Selected Contributions from ITISE 2017 /

Obsah: “…Preface -- Advanced Mathematical Methodologies in Time Series -- Forecasting via Fokker-Planck using conditional probabilities -- Cryptanalysis of a Random Number Generator Based on a Chaotic Ring Oscillator -- Further Results on Robust Multivariate Time Series Analysis in Nonlinear Models with Autoregressive and t-Distributed Errors -- A New Estimation Technique for AR(1) Model with Long-tailed Symmetric Innovations -- Prediction of High-Dimensional Time Series with Exogenous Variables Using Generalized Koopman Operator Framework in Reproducing Kernel Hilbert Space -- Eigenvalues distribution limit of covariance matrices with AR processes entries -- Computational Intelligence Methods for Time Series -- Deep Learning for Detection of BGP Anomalies -- Using Scaling Methods to Improve Support Vector Regression's Performance for Travel Time and Traffic Volume Predictions -- Dimensionality Reduction and Similarity Measures in Time Series -- Linear Trend Filtering via Adaptive Lasso -- Detecting Discords in Quasi Periodic Time-series Data - A Case Study with Electrocardiogram Data -- Similarity Analysis of Time Interval Data Sets - A Graph Theory Approach -- Logical Comparison Measures in Classification of Data -- Econometric Models -- Asymptotic and Bootstrap Tests For a Change in Autoregression Omitting Variability Estimation -- Distance Between VARMA Models and its Application to Spatial Differences Analysis in the Relationship GDP - Unemployment Growth Rate in Europe -- Copulas for Modeling the Relationship between the Inflation and the Exchange Rates -- Energy Time Series Forecasting -- Fuel Consumption Estimation for Climbing Phase -- Time Series Optimization for Energy Prediction in Wi-Fi Infrastructures -- An econometric analysis of the merit order effect in electricity spot price: the Germany case -- Forecasting in Real Problems -- The analysis of variability of short data sets based on Mahalanobis distance calculation and surrogate time series testing -- On generalized additive models with dependent time series covariates -- A Bayesian Approach to Astronomical Time Delay Estimations -- Further Results on a Modified EM Algorithm for Parameter Estimation in Linear Models with Time-Dependent Autoregressive and t-Distributed Errors. .…”

Intelligent Distributed Computing XI

Obsah: “…Part I: Distributed Algorithms and Optimization -- A Performance Analysis of Self-* Evolutionary Algorithms on Networks with Correlated Failures -- Spatially Structured Evolutionary Algorithms: Graph Degree, Population Size and Convergence Speed -- Heuristic of Anticipation for Fair Scheduling and Resource Allocation in Grid VOs -- On the Applications of Dijkstra's Shortest Path Algorithm in Software Defined Networks -- Part II: Reasoning and Decision Making in Distributed Environments -- Towards a Paraconsistent Approach to Actions in Distributed Information-Rich Environments -- A Modified Vickrey Auction with Regret Minimization for Uniform Alliance Decisions -- Lightweight Cooperative Self-Localization as Support to Traffic Regulation for Autonomous Car Driving -- A New Approach for Vertical Handover between LTE and WLAN Based on Fuzzy Logic and Graph Theory -- Part III: Multi-agent Systems -- Programming the Interaction Space Effectively with ReSpecTX -- Multi-Agent System to Design Next Generation of Airborne Platform -- A Drone-based Building Inspection System using Software-Agents -- Part IV: Data Analysis, Mining and Integration -- Connecting Social Media Data with Observed Hybrid Data for Environment Monitoring -- EUStress: a Human Behaviour Analysis System for Monitoring and Assessing Stress during Exams -- Post Sharing-based Credibility Network for Social Network -- Ontological Hybrid Storage for Security Data -- Part V: Machine Learning -- Wind Power Production Forecasting using Ant Colony Optimization and Extreme Learning Machines -- Convolutional Neural Networks for Four-Class Motor Imagery Data Classification -- Binary Classification of Images for Applications in Intelligent 3D Scanning -- Part VI: Internet of Things and Cloud Computing -- Context Aware Resource and Service Provisioning Management in Fog Computing Systems -- An Argumentative Approach to Smart Home Office Ambient Lighting -- A Recommender System Based on Hierarchical Clustering for Cloud e-Learning -- A Taxonomy of Anomalies in Distributed Cloud Systems: The CRI-Model -- Modeling and Analysis of IoT Energy Resource Exhaustion Attacks -- Part VII: Service-based Distributed Systems -- Service Discovery in Megascale Distributed Systems -- Context-Aware Access Control Model for Services Provided from Cloud Computing -- Reference Architecture for Self-Adaptive Microservice Systems -- Part VIII: WASA 2017 (7th Workshop on Applications of Software Agents) -- Agent-Based Computing in the Internet of Things: a Survey -- Teaching, Learning and Assessment of Agents and Robotics in a Computer Science Curriculum.…”

Emerging Applications of Control and Systems Theory A Festschrift in Honor of Mathukumalli Vidyasagar /

Computational Aspects and Applications in Large-Scale Networks NET 2017, Nizhny Novgorod, Russia, June 2017 /

Obsah: “…B: On forbidden Induced Subgraphs for the Class of Triangle-Konig Graphs -- Orlov, A: The Global Search Theory Approach to the Bilevel Pricing Problem in Telecommunication Networks -- Rubchinsky, A: Graph Dichotomy Algorithm and Its Applications to Analysis of Stocks Market -- Sokolova, A. and Savchenko, A: Cluster Analysis of Facial Video Data in Video Surveillance Systems Using Deep Learning -- Utkina, I: Using Modular Decomposition Technique to Solve the Maximum Clique Problem -- Part II: Network Models -- Koldanov, A. and Voronina, M: Robust Statistical Procedures for Testing Dynamics in Market Network -- Konnov, I: Application of Market Models to Network Equilibrium Problems -- Konnov, I. and Pinyagina, O: Selective Bi-coordinate Variations for Network Equilibrium Problems with Mixed Demand -- Makrushin, S: Developing a Model of Topological Structure Formation for Power Transmission Grids Based on the Analysis of the UNEG -- Nelyubin, A., Podinovski, V. and Potapov, M: Methods of Criteria Importance Theory and Their Software Implementation -- Ponomarenko, A., Utkina, I. and Batsyn, M: A Model of Optimal Network Structure for Decentralized Nearest Neighbor Search -- Semenov, A., Gorbatenko, D. and Kochemazov, S: Computational Study of Activation Dynamics on Networks of Arbitrary Structure -- Semenov, D. and Koldanov, P: Rejection Graph for Multiple Testing of Elliptical Model for Market Network -- Zaytsev, D. and Drozdova, D: Mapping Paradigms of Social Sciences: Application of Network Analysis -- Part III: Network Applications -- Belyaev, M., Dodonova, Y., Belyaeva, D., Krivov, E., Gutman, B., Faskowitz, J., Jahanshad, N. and Thompson, P: Using Geometry of the Set of Symmetric Positive Semidefinite Matrices to Classify Structural Brain Networks -- Grechikhin, I. and Kalyagin, V: Comparison of Statistical Procedures for Gaussian Graphical Model Selection -- Karpov, N., Lyashuk, A. and Vizgunov, A: Sentiment Analysis Using Deep Learning -- Koldanov, P: Invariance Properties of Statistical Procedures for Network Structures Identification -- Kurmukov, A., Dodonova, Y., Burova, M., Mussabayeva, A., Petrov, D., Faskowitz, J. and Zhukov, L: Topological Modules of Human Brain Networks are Anatomically Embedded: Evidence from Modularity Analysis at Multiple Scales -- Kostyakova, N., Karpov, I., Makarov, I. and Zhukov, L. …”

Shortest Path Solvers. From Software to Wetware

Intelligent Engineering Informatics Proceedings of the 6th International Conference on FICTA /

Complex Networks IX Proceedings of the 9th Conference on Complex Networks CompleNet 2018 /

Obsah: “…Part I: Theory of Complex Networks -- On the Eccentricity Function in Graphs -- Density Decompositions of Networks -- 188 Fast Streaming Small Graph Canonization -- Silhouette for the Evaluation of Community Structures in Multiplex Networks -- Jaccard Curvature: An Efficient Proxy for Ollivier-Ricci Curvature in Graphs -- Combinatorial Miller-Hagberg Algorithm for Randomization of Dense Networks -- Proposal of Strategic Link Addition for Improving the Robustness of Multiplex Networks -- Part II: Graph Embeddings -- Embedding-Centrality: Generic Centrality Computation Using Neural Networks -- Fast Sequence Based Embedding with Diffusion Graphs -- Semi-supervised Graph Embedding Approach to Dynamic Link Prediction -- Modularity Optimization as a Training Criterion for Graph Neural Networks -- Part II: Network Dynamics -- Outer synchronization for General Weighted Complex Dynamical Networks Considering Incomplete Measurements of Transmitted Information -- Diffusive Phenomena in Dynamic Networks: A Data-driven Study -- Fractal Analyses of Networks of Integrate-and-Fire Stochastic Spiking Neurons -- Part IV: Network Science Applications -- Cultivating Tipping Points: Network Science in Teaching -- Terrorist Network Analyzed with an Influence Spreading Model -- Author Attribution using Network Motifs -- Complex Networks Reveal a Glottochronological Classification of Natural Languages -- A Percolation-based Thresholding Method with Applications in Functional Connectivity Analysis -- Discovering Patterns of Interest in IP Traffic Using Cliques in Bipartite Link Streams -- Router Level Topologies of Autonomous Systems -- Part V: Human Behavior and Social Networks -- Social Influence (Deep) Learning for Human Behavior Prediction -- Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation -- Are Crisis Platforms Supporting Citizen Participation? …”

Information and Decision Sciences Proceedings of the 6th International Conference on FICTA /

Recent Developments in Metaheuristics

Handbook of Big Data Analytics

Obsah: “…Kung) -- Bridging Density Functional Theory and Big Data Analytics with Applications (Chien-Chang Chen, Hung-Hui Juan, Meng-Yuan Tsai and Henry Horng-Shing Lu) -- Q3-D3-LSA: D3.js and generalized vector space models for Statistical Computing (Lukas Borke and Wolfgang Karl Härdle) -- A Tutorial on Libra: R Package for the Linearized Bregman Algorithm in High-Dimensional Statistics (Jiechao Xiong, Feng Ruan and Yuan Yao) -- Functional Data Analysis for Big Data: A Case Study on California Temperature Trends (Pantelis Zenon Hadjipantelis and Hans-Georg Müller) -- Bayesian Spatiotemporal Modeling for Detecting Neuronal Activation via Functional Magnetic Resonance Imaging (Martin Bezener, Lynn E. …”

Discrete Mathematics and Applications

Advanced Wind Turbine Technology