Search Results - ("algorithm" OR "algorithms")

Educational Data Mining with R and Rattle. by Kamath, R. S.

Table of Contents: “…2.2.8 Mining Association Rules in Student's Data2.2.9 Clustering Data Mining; 2.2.10 Prediction for Student's Performance Using Classification Method; 2.2.11 Classification Techniques; 2.2.12 Educational Data Mining Model Using Rattle; 2.3 Conclusion; Chapter 3 -- Design Aspects and Developmental Framework of the System; 3.1 Introduction; 3.2 EDM Phases and Research Framework; 3.3 Methods of Educational Data Mining; 3.4 Algorithms and Tools; 3.5 Data Mining Process; 3.5.1 Data Collection; 3.5.2 Data Preprocessing and Transformation; 3.5.3 R Packages and Functions for Data Mining.…”
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Stigmatic optics by González-Acuña, Rafael G., Chaparro-Romo, Héctor A.

Table of Contents: “…11. Algorithms for stigmatic design -- 11.1. Programs for chapter 6 -- 11.2. …”
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The SMART CYBER ECOSYSTEM FOR SUSTAINABLE DEVELOPMENT.

Table of Contents: “…2 AI for Wireless Network Optimization: Challenges and Opportunities -- 2.1 Introduction to AI -- 2.2 Self-Organizing Networks -- 2.2.1 Operation Principle of Self-Organizing Networks -- 2.2.2 Self-Configuration -- 2.2.3 Self-Optimization -- 2.2.4 Self-Healing -- 2.2.5 Key Performance Indicators -- 2.2.6 SON Functions -- 2.3 Cognitive Networks -- 2.4 Introduction to Machine Learning -- 2.4.1 ML Types -- 2.4.2 Components of ML Algorithms -- 2.4.3 How do Machines Learn? -- 2.4.4 ML and Wireless Networks -- 2.5 Software-Defined Networks -- 2.5.1 SDN Architecture -- 2.5.2 The OpenFlow Protocol…”
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Frontiers of energy, materials and information engineering : selected, peer reviewed papers from the 2014 International Conference on Frontiers of Energy, Materials and Information...

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DataFlow supercomputing essentials : research, development and education

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Cloud data centers and cost modeling : a complete guide to planning, designing and building a cloud data center by Wu, Caesar, Buyya, Rajkumar

Table of Contents: “…Cloud Computing Foundations and Business Requirements; 1 Cloud Computing; 1.1 Introduction; 1.1.1 Operation Cost Rationalization; 1.1.2 Revenue Estimation for Emerging Products; 1.2 Cloud Computing at a Glance; 1.3 Right Approach to Definition; 1.4 A Brief History of Cloud Computing Definitions; 1.5 Parallel Computing; 1.5.1 Hardware Parallelism; 1.5.1.1 Processor parallelism; 1.5.1.2 Memory parallelism; 1.5.2 Software Parallelism; 1.5.2.1 Algorithm parallelism.…”
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Language processing and grammars : the role of functionally oriented computational models

Table of Contents: “…Language Processing and Grammars; Editorial page ; Title page ; LCC data ; Table of contents; Introduction ; References ; From the extraction of continuous features in parallel texts to visual analytics of heterogeneous areal-typological datasets ; 1. Introduction ; 2. Algorithmic typology ; 2.1 Degree of synthesis ; 2.2 Amount of prefixing and suffixing ; 2.3 Amount of case marking ; 2.4 Synthetic vs. analytic negation marking ; 3. …”
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Goliath's revenge : how established companies turn the tables on digital disruptors by Hewlin, Todd, Snyder, Scott A. (Scott Andrew), 1965-

Table of Contents: “…; Chapter 3 Winner Takes Most; The End of Average; The Retail Industry: A Cautionary Tale; The Customer Expectation Ratchet; My Car Gets Better with Age; Our Trains Have Zero Unplanned Downtime; Why Time Is of the Essence; Parabolic Customer Adoption; Perpetual Algorithmic Advantage; Note; Chapter 4 Rule 1: Deliver Step-Change Customer Outcomes; Pick a Destination: Thinking Customer-In; Plan Your Journey: The Stairway to Value…”
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Machine learning in cognitive IoT by Kumar, Neeraj (Computer scientist), Makkar, Aaisha

Table of Contents: “…6 Machine Learning Paradigms -- 6.1 Introduction -- 6.2 Generalizing Input -- 6.3 Generalizing Output -- 6.3.1 Decision Tree -- 6.4 Classification Rules -- 6.5 Numeric Prediction -- 6.6 Instance-based Learning -- 6.6.1 Distance Metric -- 6.7 Summary and What's Next -- 6.8 Exercises -- 7 Different Machine Learning Models -- 7.1 Linear Method for Regression -- 7.2 Linear Method for Classification -- 7.3 Kernel Smoothing Models -- 7.4 Back Propagation -- 7.4.1 Radial Basis Function Networks -- 7.5 Neural Network -- 7.5.1 The Perceptron -- 7.6 Bayesian Methods -- 7.6.1 Bayesian Statistics -- 7.6.2 Bayesian Inference -- 7.7 Summary and What's Next -- 7.8 Exercises -- 8 Data Processing -- 8.1 Input Preparation -- 8.2 Data Preprocessing -- 8.3 Data Cleaning -- 8.3.1 The Condensed Nearest Neighbor Rule -- 8.3.2 Tomek -- 8.3.3 One-sided Selection -- 8.3.4 SMOTE -- 8.3.5 ADASYN Algorithm -- 8.3.6 SOTU -- 8.4 Summary and What's Next? …”
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Real-Time Digital Signal Processing : Fundamentals, Implementations and Applications. by Kuo, Sen M.

Table of Contents: “…Real-Time Digital Signal Processing: Fundamentals, implementations and applications -- Contents -- Preface -- Acknowledgments -- 1 Introduction to Real-Time Digital Signal Processing -- 1.1 Basic Elements of Real-Time DSP Systems -- 1.2 Analog Interface -- 1.2.1 Sampling -- 1.2.2 Quantization and Encoding -- 1.2.3 Smoothing Filters -- 1.2.4 Data Converters -- 1.3 DSP Hardware -- 1.3.1 DSP Hardware Options -- 1.3.2 Digital Signal Processors -- 1.3.3 Fixed- and Floating-Point Processors -- 1.3.4 Real-Time Constraints -- 1.4 DSP System Design -- 1.4.1 Algorithm Development…”
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Listed Volatility and Variance Derivatives : a Python-based Guide. by Hilpisch, Yves

Table of Contents: “…3.7 VSTOXX as Volatility Index3.8 Conclusions; Part Two Listed Volatility Derivatives; Chapter 4 Data Analysis and Strategies; 4.1 Introduction; 4.2 Retrieving Base Data; 4.2.1 EURO STOXX 50 Data; 4.2.2 VSTOXX Data; 4.2.3 Combining the Data Sets; 4.2.4 Saving the Data; 4.3 Basic Data Analysis; 4.4 Correlation Analysis; 4.5 Constant Proportion Investment Strategies; 4.6 Conclusions; Chapter 5 VSTOXX Index; 5.1 Introduction; 5.2 Collecting Option Data; 5.3 Calculating the Sub-Indexes; 5.3.1 The Algorithm; 5.4 Calculating the VSTOXX Index; 5.5 Conclusions; 5.6 Python Scripts.…”
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Quantum information by Barnett, S. M. (Stephen M.)

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Primary surplus behavior and risks to fiscal sustainability in emerging market countries : a "fan-chart" approach by Celasun, Oya, Debrun, Xavier, Ostry, Jonathan D. (Jonathan David), 1962-

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Clinical tests for the musculoskeletal system : examinations, signs, phenomena by Buckup, K. (Klaus), Buckup, Johannes

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High-Frequency Financial Econometrics by Aït-Sahalia, Yacine, Jacod, Jean

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Cooperative and cognitive satellite systems

Table of Contents: “…1.2.2.1 High SNR1.2.2.2 Numerical example; 1.3 Multibeam processing: linear and nonlinear joint detection; 1.3.1 Joint detection algorithms; 1.3.1.1 Linear detectors; 1.3.1.2 Nonlinear detectors; 1.3.1.3 Numerical example; 1.3.2 IDD Techniques; 1.3.3 Complexity considerations; 1.4 Practical impairments; 1.4.1 Imperfect channel estimation; 1.4.1.1 Review on channel estimation techniques; 1.4.1.2 Asynchronism in the return link; 1.4.1.3 Performance with imperfect channel estimation; 1.4.2 Limitations of the feeder link; 1.5 Conclusions; References…”
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Debates in the digital humanities 2016

Table of Contents: “…Clement -- Why I Dig: Feminist Approaches to Text Analysis / Lisa Marie Rhody -- More Scale, More Questions: Observations from Sociology / Tressie McMillan Cottom -- Do Digital Humanists Need to Understand Algorithms? / Benjamin M. Schmidt -- Messy Data and Faulty Tools: Overcoming Obstacles in Large-Scale Text Analysis / Joanna Swafford -- N + 1: A Plea for Cross-Domain Data in the Digital Humanities / Alan Liu.…”
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Notes on Feline Internal Medicine. by Sturgess, Kit

Table of Contents: “…1.3.6 Neonatal isoerythrolysis1.3.7 Fading kitten syndrome; 1.3.8 Pain relief; 1.4 GERONTOLOGY; 1.4.1 Introduction; 1.4.2 Effects of ageing; 1.4.3 Nutritional changes; 1.4.4 Common diseases of elderly cats; 1.4.5 Assessment of the elderly cat; 1.4.6 Therapeutic considerations; 1.5 SUPPORTIVE CARE -- FLUID THERAPY AND ANALGESIA; 1.5.1 General principles; 1.5.2 Fluid therapy; 1.5.3 Analgesia; 1.6 SEDATION AND ANAESTHESIA; 1.6.1 Introduction; 1.6.2 Pre-procedure assessment; 1.6.3 Sedative protocols; 1.6.4 Anaesthetic protocols; 1.7 EMERGENCY AND CRITICAL CARE ALGORITHMS; 1.7.1 Introduction.…”
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Automated/mechanized drilling and countersinking of airframes by Bullen, George N.

Table of Contents: “…4.3.5 Vision System4.3.6 Inspection; 4.3.7 Integration Level II; 4.4 Controller; 4.4.1 Human Machine Interface; 4.4.2 Volumetric Compensation Algorithm; 4.4.3 Integration Level III; 4.5 Calibration; 4.6 Sustainability; 4.7 Summary; References; Chapter 5 Considerations Before Replacing Hand Drilling with Mechanization or Automation; 5.1 Introduction; 5.2 Before the Decision to Automate; 5.2.1 Feasibility Analysis; 5.2.1.1 Access; 5.2.1.2 Flooring; 5.2.1.3 Tooling Integration; 5.2.1.4 Factory Infrastructure; 5.2.1.5 Current Operations; 5.2.1.6 Environment; 5.2.1.7 Labor; 5.2.1.8 Risk Assessment.…”
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A practitioner's guide to asset allocation by Kinlaw, William, Kinlaw, William, Kritzman, Mark P., Turkington, David, 1983-

Table of Contents: “…-- Linear Hedging Strategies -- Nonlinear Hedging Strategies -- Economic Intuition -- References -- Notes -- Chapter 11: Illiquidity -- The Challenge -- Shadow Assets and Liabilities -- Expected Return and Risk of Shadow Allocations -- Other Considerations -- Case Study -- The Bottom Line -- Appendix -- References -- Notes -- Chapter 12: Risk in the Real World -- The Challenge -- End-of-Horizon Exposure to Loss -- Within-Horizon Exposure to Loss -- Regimes -- The Bottom Line -- References -- Notes -- Chapter 13: Estimation Error -- The Challenge -- Traditional Approaches to Estimation Error -- Stability-Adjusted Optimization -- Building a Stability-Adjusted Return Distribution -- Determining the Optimal Allocation -- Empirical Analysis -- The Bottom Line -- References -- Notes -- Chapter 14: Leverage versus Concentration -- The Challenge -- Leverage in Theory -- Leverage in Practice -- The Bottom Line -- References -- Notes -- Chapter 15: Rebalancing -- The Challenge -- The Dynamic Programming Solution -- The Markowitz-van Dijk Heuristic -- The Bottom Line -- References -- Notes -- Chapter 16: Regime Shifts -- The Challenge -- Predictability of Return and Risk -- Regime-Sensitive Allocation -- Tactical Asset Allocation -- The Bottom Line -- Appendix: Baum-Welch Algorithm -- References -- Notes -- Section Four: Addendum -- Chapter 17: Key Takeaways.…”
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