Výsledky vyhledávání - Computer Science - Data Structures and Algorithms

Cohesive Subgraph Computation over Large Sparse Graphs Algorithms, Data Structures, and Programming Techniques / Autor Chang, Lijun

Témata: “…Data structures (Computer science).…”

Arbres pour l'Algorithmique Autor Chauvin, Brigitte

Témata: “…Data structures (Computer science).…”

Agent-Based Models and Complexity Science in the Age of Geospatial Big Data Selected Papers from a workshop on Agent-Based Models and Complexity Science (GIScience 2016) /

International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications ASISA 2016 /

Information Technology - New Generations 15th International Conference on Information Technology /

Data science in chemistry : artificial intelligence, big data, chemometrics and quantum computing with Jupyter / Autor Gressling, Thorsten

Obsah: “…1 Data science: introduction --…”

Learn Computer Science with Swift Computation Concepts, Programming Paradigms, Data Management, and Modern Component Architectures with Swift and Playgrounds / Autor Feiler, Jesse

Data Science Fundamentals for Python and MongoDB Autor Paper, David

Advances in Machine Learning and Data Science Recent Achievements and Research Directives /

Targeted Learning in Data Science Causal Inference for Complex Longitudinal Studies / Autor van der Laan, Mark J.

Modeling, Simulation, and Optimization

A Semidiscrete Version of the Citti-Petitot-Sarti Model as a Plausible Model for Anthropomorphic Image Reconstruction and Pattern Recognition Autor Prandi, Dario

Unconventional Computing A Volume in the Encyclopedia of Complexity and Systems Science, Second Edition /

Machine Learning Techniques for Online Social Networks

Operational Research IO2017, Valença, Portugal, June 28-30 /

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? …”

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. …”

Model-Based Demography Essays on Integrating Data, Technique and Theory / Autor Burch, Thomas K.

Lectures on Convex Optimization Autor Nesterov, Yurii

Computational Kinematics Proceedings of the 7th International Workshop on Computational Kinematics that was held at Futuroscope-Poitiers, France, in May 2017 /