Search Results - (((((((kant OR wants) OR wanting) OR markant) OR cantor) OR anne) OR shared) OR hints) algorithms.

Advanced reliability modeling : part II

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Environmental modeling with GIS

Table of Contents: “…Mapping of the Dust Emission Sources -- 6.2. Sharing Data between Dispersion Modeling Tools and GIS -- 6.3. …”
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Advanced Artificial Intelligence.

Table of Contents: “…3.9 Influence-based Backjumping3.10 Constraint Relation Processing; 3.10.1 Unit Sharing Strategy for Identical Relation; 3.10.2 Interval Propagation; 3.10.3 Inequality Graph; 3.10.4 Inequality Reasoning; 3.11 Constraint Reasoning System COPS; 3.12 ILOG Solver; Exercise; Chapter 4 Qualitative Reasoning; 4.1 Introduction; 4.2 Basic approaches in qualitative reasoning; 4.3 Qualitative Model; 4.4 Qualitative Process; 4.5 Qualitative Simulation Reasoning; 4.5.1 Qualitative state transformation; 4.5.2 QSIM algorithm; 4.6 Algebra Approach; 4.7 Spatial Geometric Qualitative Reasoning.…”
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The neural basis of free will : criterial causation by Tse, Peter

Table of Contents: “…Implications of Criterial Causality for Mental Representation -- The Neural Code Is Not Algorithmic -- Criterialism, Descriptivism, and Reference -- Countering Kripke's Attack -- Wittgenstein and Criteria -- Propositions and Vectorial Encodings -- Mental Operations versus Mental Representations -- Beyond Functionalism -- 9. …”
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Dermatologic principles and practice in oncology : conditions of the skin, hair, and nails in cancer patients

Table of Contents: “…Borovicka, Jennifer R.S. Gordon, Ann Cameron Haley, Nicole E. Larson and Dennis P. …”
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Principles of Quantum Computation and Information, Volume I : Basic Concepts. by Casati, Giulio, Strini, Giuliano

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Computational ecology : artificial neural networks and their applications by Zhang, Wenjun

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The New Advertising : Branding, Content, and Consumer Relationships in the Data-Driven Social Media Era. by Wang, Ming

Table of Contents: “…Persuasive Avatars: Extending the Self through New Media AdvertisingPart III: Algorithms, Analytics, and Concerns ; 10. Road of Discovery: The Intricacies of Search Marketing; 11. …”
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OpenCV Android Programming By Example. by Muhammad, Amgad

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Apache Spark for Data Science Cookbook. by Chitturi, Padma Priya

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Advances in parallel computing technologies and applications

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IP multicast with applications to IPTV and mobile DVB-H by Minoli, Daniel, 1952-

Table of Contents: “…Cover -- TOC36;CONTENTS -- Preface -- About the Author -- CH36;1 INTRODUCTION TO IP MULTICAST -- 146;1 Introduction -- 146;2 Why Multicast Protocols are Wanted47;Needed -- 146;3 Basic Multicast Protocols and Concepts -- 146;4 IPTV and DVB45;H Applications -- 146;5 Course of Investigation -- Appendix 146;A58; Multicast IETF Request for Comments -- Appendix 146;B58; Multicast Bibliography -- References -- CH36;2 MULTICAST ADDRESSING FOR PAYLOAD -- 246;1 IP Multicast Addresses -- 246;146;1 Limited Scope Addresses -- 246;146;2 GLOP Addressing -- 246;146;3 Generic IPv4 Addressing -- 246;2 Layer 2 Multicast Addresses -- 246;246;1 Ethernet MAC Address Mapping -- 246;3 MPEG45;Layer Addresses -- References -- CH36;3 MULTICAST PAYLOAD FORWARDING -- 346;1 Multicasting on a LAN Segment -- 346;2 Multicasting between Network Segments -- 346;3 Multicast Distribution Trees -- 346;4 Multicast Forwarding58; Reverse Path Forwarding -- 346;5 Multicast Forwarding58; Center45;Based Tree Algorithm -- 346;6 Implementing IP Multicast in a Network -- References -- CH36;4 DYNAMIC HOST REGISTRATION8212;INTERNET GROUP MANAGEMENT PROTOCOL -- 446;1 IGMP Messages -- 446;2 IGMPv3 Messages -- 446;3 IGMP Operation -- Appendix 446;A58; Protocol Details for IGMPv2 -- 446;A46;1 Overview -- 446;A46;2 Protocol Description -- 446;A46;3 Receiver 40;Host41; State Diagram -- 446;A46;4 Router State Diagram -- Appendix 446;B58; IGMP Snooping Switches -- Appendix 446;C58; Example of Router Configurations -- References -- CH36;5 MULTICAST ROUTING8212;SPARSE45;MODE PROTOCOLS58; PROTOCOL INDEPENDENT MULTICAST -- 546;1 Introduction to PIM -- 546;2 PIM SM Details -- 546;246;1 Approach -- 546;246;2 PIM SM Protocol Overview -- 546;246;3 Detailed Protocol Description -- 546;246;4 Packet Formats -- References -- CH36;6 MULTICAST ROUTING8212;SPARSE45;MODE PROTOCOLS58; CORE45;BASED TREES -- 646;1 Motivation -- 646;2 Basic Operation -- 646;3 CBT Components and Functions -- 646;346;1 CBT Control Message Retransmission Strategy -- 646;346;2 Nonmember Sending -- 646;4 Core Router Discovery -- 646;5 Protocol Specification Details -- 646;546;1 CBT HELLO Protocol -- 646;546;2 JOIN_REQUEST Processing -- 646;546;3 JOIN_ACK Processing -- 646;546;4 QUIT_NOTIFICATION Processing -- 646;546;5 ECHO_REQUEST Processing -- 646;546;6 ECHO_REPLY Processing -- 646;546;7 FLUSH_TREE Processing -- 646;546;8 Nonmember Sending -- 646;546;9 Timers and Default Values -- 646;546;10 CBT Packet Formats and Message Types -- 646;546;11 Core Router Discovery -- 646;6 CBT Version 3 -- 646;646;1 The First Step58; Joining the Tree -- 646;646;2 Transient State -- 646;646;3 Getting 34;On Tree34; -- 646;646;4 Pruning and Prune State -- 646;646;5 The Forwarding Cache -- 646;646;6 Packet Forwarding -- 646;646;7 The 34;Keepalive34; Protocol -- 646;646;8 Control Message Precedence and Forwarding Criteria -- 646;646;9 Broadcast LANs -- 646;646;10 The 34;all45;cbt45;routers34; Group -- 646;646;11 Nonmember Sending -- References -- CH36;7 MULTICAST ROUTING8212;DENSE45;MODE PROTOCOLS58; PIM DM.…”
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PHealth 2017 : proceedings of the 14th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 14-16 May 2017, Eindhoven, the Netherlands

Table of Contents: “…Information System of Personalized Patient's Adherence Level DeterminationSmartphones to Access to Patient Data in Hospital Settings: Authentication Solutions for Shared Devices; pHealth and Population Health; Architecture for Variable Data Entry into a National Registry; Patient Summaries in Context of Large Scale EHR Networks with Fine Granular Access Control Restrictions; Behavioral Aspects; Classifying Drivers' Cognitive Load Using EEG Signals; Open Dataset for the Automatic Recognition of Sedentary Behaviors.…”
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QoS and Energy Management in Cognitive Radio Network : Case Study Approach. by Mishra, Vishram

Table of Contents: “…; 1.2 Spectrum Regulation; 1.2.1 Licensed Spectrum; 1.2.2 Unlicensed Spectrum; 1.2.3 Open Spectrum; 1.3 Opportunistic Spectrum Usage; 1.4 Software Defined Radio and Cognitive Radio; 1.4.1 IEEE Groups Working on Spectrum Sharing; 1.4.2 Cognition Cycle; 1.4.3 Cognitive Engine and Framework; 1.4.4 Cognitive Radio Network; 1.5 Quality of Service (QoS); 1.5.1 QoS Provisioning for Latency Guarantee; 1.5.2 QoS Provisioning for Throughput Guarantee; 1.6 Channel Selection Techniques in Cognitive Radio Network.…”
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CUDA Application Design and Development. by Farber, Rob

Table of Contents: “…The Nsight Timeline Analysis -- The NVTX Tracing Library -- Scaling Behavior of the CUDA API -- Tuning and Analysis Utilities (TAU) -- Summary -- 4 The CUDA Execution Model -- GPU Architecture Overview -- Thread Scheduling: Orchestrating Performance and Parallelism via the Execution Configuration -- Relevant computeprof Values for a Warp -- Warp Divergence -- Guidelines for Warp Divergence -- Relevant computeprof Values for Warp Divergence -- Warp Scheduling and TLP -- Relevant computeprof Values for Occupancy -- ILP: Higher Performance at Lower Occupancy -- ILP Hides Arithmetic Latency -- ILP Hides Data Latency -- ILP in the Future -- Relevant computeprof Values for Instruction Rates -- Little's Law -- CUDA Tools to Identify Limiting Factors -- The nvcc Compiler -- Launch Bounds -- The Disassembler -- PTX Kernels -- GPU Emulators -- Summary -- 5 CUDA Memory -- The CUDA Memory Hierarchy -- GPU Memory -- L2 Cache -- Relevant computeprof Values for the L2 Cache -- L1 Cache -- Relevant computeprof Values for the L1 Cache -- CUDA Memory Types -- Registers -- Local memory -- Relevant computeprof Values for Local Memory Cache -- Shared Memory -- Relevant computeprof Values for Shared Memory -- Constant Memory -- Texture Memory -- Relevant computeprof Values for Texture Memory -- Global Memory -- Common Coalescing Use Cases -- Allocation of Global Memory -- Limiting Factors in the Design of Global Memory -- Relevant computeprof Values for Global Memory -- Summary -- 6 Efficiently Using GPU Memory -- Reduction -- The Reduction Template -- A Test Program for functionReduce.h -- Results -- Utilizing Irregular Data Structures -- Sparse Matrices and the CUSP Library -- Graph Algorithms -- SoA, AoS, and Other Structures -- Tiles and Stencils -- Summary -- 7 Techniques to Increase Parallelism -- CUDA Contexts Extend Parallelism -- Streams and Contexts.…”
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Principles of artificial neural networks by Graupe, Daniel

Table of Contents: “…Fundamentals of biological neural networks -- ch. 3. Basic principles of ANNs and their early structures. 3.1. Basic principles of ANN design. 3.2. …”
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Artificial intelligence in society.

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Machine Learning with Swift : Artificial Intelligence for iOS. by Sosnovshchenko, Oleksandr

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Advanced Python Programming : Build High Performance, Concurrent, and Multi-Threaded Apps with Python Using Proven Design Patterns. by Lanaro, Gabriele

Table of Contents: “…Cover; Title Page; Copyright; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Benchmarking and Profiling; Designing your application; Writing tests and benchmarks; Timing your benchmark; Better tests and benchmarks with pytest-benchmark; Finding bottlenecks with cProfile; Profile line by line with line_profiler; Optimizing our code; The dis module; Profiling memory usage with memory_profiler; Summary; Chapter 2: Pure Python Optimizations; Useful algorithms and data structures; Lists and deques; Dictionaries; Building an in-memory search index using a hash map; Sets; Heaps…”
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Haptic Feedback Teleoperation of Optical Tweezers by Ni, Zhenjiang

Table of Contents: “…Specific designs for haptic interactions; 1.4.1. Temporal sharing; 1.4.2. Spatial sharing; 1.5. Discussion; 1.6. …”
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