Search Results - (((((((ant OR wind) OR mwantic) OR win) OR cantor) OR anne) OR shared) OR hints) algorithms.

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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Machine Learning with Spark - Second Edition. by Dua, Rajdeep

Table of Contents: “…Generating predictions for the Kaggle/StumbleUpon evergreen classification dataset -- Evaluating the performance of classification models -- Accuracy and prediction error -- Precision and recall -- ROC curve and AUC -- Improving model performance and tuning parameters -- Feature standardization -- Additional features -- Using the correct form of data -- Tuning model parameters -- Linear models -- Iterations -- Step size -- Regularization -- Decision trees -- Tuning tree depth and impurity -- The naive Bayes model -- Cross-validation -- Summary -- Chapter 7: Building a Regression Model with Spark -- Types of regression models -- Least squares regression -- Decision trees for regression -- Evaluating the performance of regression models -- Mean Squared Error and Root Mean Squared Error -- Mean Absolute Error -- Root Mean Squared Log Error -- The R-squared coefficient -- Extracting the right features from your data -- Extracting features from the bike sharing dataset -- Training and using regression models -- BikeSharingExecutor -- Training a regression model on the bike sharing dataset -- Linear regression -- Generalized linear regression -- Decision tree regression -- Ensembles of trees -- Random forest regression -- Gradient boosted tree regression -- Improving model performance and tuning parameters -- Transforming the target variable -- Impact of training on log-transformed targets -- Tuning model parameters -- Creating training and testing sets to evaluate parameters -- Splitting data for Decision tree -- The impact of parameter settings for linear models -- Iterations -- Step size -- L2 regularization -- L1 regularization -- Intercept -- The impact of parameter settings for the decision tree -- Tree depth -- Maximum bins -- The impact of parameter settings for the Gradient Boosted Trees -- Iterations -- MaxBins -- Summary.…”
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World's greatest architect : making, meaning, and network culture by Mitchell, William J. (William John), 1944-2010

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Resources utilization and productivity enhancement case studies by Mital, Anil, Pennathur, Arunkumar

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AI and human thought and emotion by Freed, Sam (Philosophy professor)

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Frontiers of Artificial Intelligence in Medical Imaging. by Razmjooy, Navid

Table of Contents: “…5.5 Electromagnetic field optimization algorithm -- 5.6 Developed electromagnetic field optimization algorithm -- 5.7 Simulation results -- 5.7.1 Image acquisition -- 5.7.2 Pre-processing stage -- 5.7.3 Processing stage -- 5.7.4 Classification -- 5.8 Final evaluation -- 5.9 Conclusions -- References -- Chapter 6 Evaluation of COVID-19 lesion from CT scan slices: a study using entropy-based thresholding and DRLS segmentation -- 6.1 Introduction -- 6.2 Context -- 6.3 Methodology -- 6.3.1 COVID-19 database -- 6.3.2 Image conversion and pre-processing -- 6.3.3 Image thresholding…”
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Proceedings of the 2009 International Conference on Computer and Network Technology, Chennai, India, 24-26 July 2009

Table of Contents: “…An Ownership Sharing Protocol for RFID without a Trusted Third Party G. …”
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FRBR, before and after : a look at our bibliographic models by Coyle, Karen

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Signal processing for cognitive radios by Jayaweera, Sudharman K., 1972-

Table of Contents: “…8.1 INTRODUCTION8.2 K-MEANS CLASSIFICATION ALGORITHM; 8.3 X-MEANS CLASSIFICATION ALGORITHM; 8.4 DIRICHLET PROCESS MIXTURE MODEL; 8.5 BAYESIAN NONPARAMETRIC CLASSIFICATION BASED ON THE DPMM AND THE GIBBS SAMPLING; 8.6 SUMMARY; PART III: SIGNAL PROCESSING IN COGNITIVE RADIOS; 9 WIDEBAND SPECTRUM SENSING; 9.1 INTRODUCTION; 9.2 WIDEBAND SPECTRUM SENSING PROBLEM; 9.3 WIDEBAND SPECTRUM SCANNING PROBLEM; 9.4 SPECTRUM SEGMENTATION AND SUBBANDING; 9.5 WIDEBAND SPECTRUM SENSING RECEIVER; 9.6 SUBBAND SELECTION PROBLEM IN WIDEBAND SPECTRUM SENSING.…”
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Advances in Computers, Electronics and Mechatronics : Selected, Peer Reviewed Papers from the 2014 International Forum on Computers, Electronics and Mechatronics (IFCEM 2014), Augu...

Table of Contents: “…Similarity Measure between Vague Sets Based on ProductsThe Decision-Making Method of Web Services Composition Based on Action Patterns of Open Fuzzy Petri Net; Barcode-Based Service-Oriented Material Flow Technology for Complex Product Assembly; Research on the Influence of Combination Information-Sharing on Supply Chain Performance; Design of Logistics Management System Based on Workflow; Research on the Change of Automobile Marketing Mode with Development of Mobile Internet.…”
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Mastering mobile learning

Table of Contents: “…Mastering Mobile Learning: Tips and Techniques for Success; Copyright; Contents; Foreword; Preface; Introduction; Part 1: Understanding Mobile Learning; Chapter 1: Enterprise Mobile Learning: A Primer; Business Drivers of Mobile Learning; The Mobile Learning Ecosystem; Mobile Learning Applications; Content Transmission and Retrieval; Capturing Data; Communicating and Interacting with Others; Computing Algorithms; Contextual Inquiry; Designing and Creating Mobile Learning Content; Chapter 2: The Seven Shifts in Enterprise Learning; 1. …”
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Advanced deep learning with R : become an expert at designing, building, and improving advanced neural network models using R by Rai, Bharatendra K.

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Electronics, Mechatronics and Automation III : Selected, Peer Reviewed Papers from the 2014 3rd International Conference on Electronics, Mechatronics and Automation (ICEMA 2014), A...

Table of Contents: “…Decision Tree Algorithm for Real-Time Identification of Critical Voltage Control AreasThe Diagnostics System for Power Transmission Lines of 6/10 kV; The Study on Homogeneous Parameters of Light Water Reactor by the Nodal Diffusion Method; Improved Power Transformer Winding Deformation Fault Diagnosis Method; Efficiency of Vortex Tube Enclosure Cooling; Chapter 4: Mechatronics, Control and Automation of Manufacturing; Stabilization and Control of an Autonomous Quadcopter; Robust Control of Weight Compensation of the Sections of Spascraft on the Weightlessness Simulation Bench.…”
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Complex Analysis and Dynamical Systems VII. by Agranovsky, Mark L.

Table of Contents: “…Modulus as a Convex Program and the Karush-Kuhn-Tucker conditions -- 9. An algorithm for approximating the modulus…”
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Parametricism 2.0 : Rethinking Architecture's Agenda for the 21st Century

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Frontiers In The Study Of Chaotic Dynamical Systems With Open Problems.

Table of Contents: “…Preface; Contents; Chapter 1 Problems with Lorenz's Modeling and the Algorithm of Chaos Doctrine; 1.1. Introduction; 1.2. …”
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Smart data pricing

Table of Contents: “…6.6 Day-Ahead Dynamic TDP6.7 Perspectives of Internet Ecosystem Stakeholders -- 6.8 Lessons From Day-Ahead Dynamic TDP Field Trials -- 6.9 Discussions And Conclusions -- Acknowledgments -- References -- III: Usage-Based Pricing -- Chapter 7: Quantifying the Costs of Customers for Usage-Based Pricing -- 7.1 Introduction -- 7.2 The Cost of a Customer in a Network -- 7.3 Discrepancy, The Metric of Comparing Different Cost-Sharing Policies -- 7.4 How Do We Compute the Costs of the Customers? …”
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Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects by Fort, Karen

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Mathematical Methods in Interdisciplinary Sciences. by Chakraverty, Snehashish

Table of Contents: “…1.2.2.1 Architecture of Single-Layer LgNN Model -- 1.2.2.2 Training Algorithm of Laguerre Neural Network (LgNN) -- 1.2.2.3 Gradient Computation of LgNN -- 1.3 Methodology for Solving a System of Fredholm Integral Equations of Second Kind -- 1.3.1 Algorithm -- 1.4 Numerical Examples and Discussion -- 1.4.1 Differential Equations and Applications -- 1.4.2 Integral Equations -- 1.5 Conclusion -- References -- Chapter 2 Deep Learning in Population Genetics: Prediction and Explanation of Selection of a Population -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Dataset Description…”
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Heterogeneous networks in LTE-Advanced by Acharya, Joydeep

Table of Contents: “…Chapter 3 LTE Signal Structure and Physical Channels 3.1 Introduction; 3.2 LTE Signal Structure; 3.3 Introduction to LTE Physical Channels and Reference Signals; 3.4 Resource Block Assignment; 3.5 Downlink Physical Channels; 3.5.1 Physical Broadcast Channel (PBCH); 3.5.2 Physical Downlink Shared Channel (PDSCH); 3.5.3 Physical Multicast Channel (PMCH); 3.5.4 Physical Control Format Indicator Channel (PCFICH); 3.5.5 Physical Hybrid ARQ Indicator Channel (PHICH); 3.5.6 Physical Downlink Control Channel (PDCCH); 3.6 Uplink Physical Channels; 3.6.1 Physical Uplink Shared Channel (PUSCH).…”
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