Search Results - (((((((ant OR giwant) OR santis) OR when) OR cantor) OR anne) OR shape) OR hints) algorithms.
Suggested Topics within your search.
Suggested Topics within your search.
- Data processing 43
- Artificial intelligence 42
- Mathematics 39
- Mathematical models 35
- Mathematical optimization 26
- artificial intelligence 26
- Machine learning 25
- Algorithms 24
- algorithms 21
- Social aspects 18
- Artificial Intelligence 17
- Technological innovations 17
- Computer networks 16
- Data mining 16
- History 14
- Computer algorithms 13
- Digital techniques 12
- Information technology 12
- Research 12
- Statistical methods 12
- methods 12
- Design and construction 11
- Image processing 11
- Python (Computer program language) 11
- Development 10
- Engineering 10
- Neural networks (Computer science) 10
- Application software 9
- Automation 9
- Big data 9
Search alternatives:
- ant »
- giwant »
- santis »
- cantor »
-
521
Spatial control of vibration : theory and experiments
Published 2003Table of Contents: “…System Identification for Spatially Distributed Systems; 7.1 Introduction; 7.2 Modeling; 7.3 Spatial sampling; 7.4 Identifying the system matrix; 7.5 Identifying the mode shapes and feed-through function; 7.6 Experimental results; 7.7 Conclusions; Appendix A Frequency domain subspace system identification; A.1 Introduction; A.2 Frequency Domain Subspace Algorithm; Bibliography; Index.…”
Full text (MFA users only)
Electronic eBook -
522
Mastering D3.js.
Published 2014Table of Contents: “…Updating the datasetFixing the enter and exit transitions; Using the barcode chart; Creating a layout algorithm; The radial layout; Computing the angles; Using the layout; Summary; Chapter 3: Creating Visualizations without SVG; SVG support in the browser market; Visualizations without SVG; Loading and sorting the data; The force layout method; Setting the color and size; Creating a legend; Polyfilling; Feature detection; The canvg example; Using canvas and D3; Creating figures with canvas; Creating shapes; Integrating canvas and D3; Summary; Chapter 4: Creating a Color Picker with D3.…”
Full text (MFA users only)
Electronic eBook -
523
Kotlin standard library cookbook : master the powerful Kotlin standard library through practical code examples
Published 2018Table of Contents: “…. ; See also; Applying sequences to solve algorithmic problems; Getting ready; How to do it ... ; How it works ... ; Chapter 2: Expressive Functions and Adjustable Interfaces; Introduction; Declaring adjustable functions with default parameters; How to do it ... ; How it works ... ; See also; Declaring interfaces containing default implementations; Getting ready…”
Full text (MFA users only)
Electronic eBook -
524
Linearization and efficiency enhancement techniques for silicon power amplifiers : from RF to mmW
Published 2015Table of Contents: “…2.3.4.1 Modification of the CFB Algorithm2.3.4.2 New Architecture; 2.4 Analog Part Implementation; 2.5 Linearized Transmitter Results; 2.6 Power Consumption and Size Considerations; 2.7 Conclusion; References; 3 Transmitter Linearity and Energy Efficiency; 3.1 Introduction; 3.2 The PA Design Problem; 3.3 A Reverse Design Approach; 3.3.1 PA Operating Modes; 3.3.2 What Does "Gain" Mean When Nonlinear?…”
Full text (MFA users only)
Electronic eBook -
525
-
526
System and Bayesian reliability : essays in honor of Professor Richard E. Barlow on his 70th birthday
Published 2001Table of Contents: “…Using the Conditional Expectation Inequality to Bound the Reliability Function; 3. Bounds When Component States Are Dependent; 4. Summary; Acknowledgements; References.…”
Full text (MFA users only)
Electronic eBook -
527
Ecological modelling and ecophysics : agricultural and environmental applications
Published 2024Table of Contents: “…Markovian simulation algorithms inspired in statistical physics -- 5.6. Monte Carlo algorithms as an optimization tool : simulated annealing -- 5.7. …”
Full text (MFA users only)
Electronic eBook -
528
Pediatric incontinence : evaluation and clinical management
Published 2015Full text (MFA users only)
Electronic eBook -
529
Knowledge mining using intelligent agents
Published 2011Full text (MFA users only)
Electronic eBook -
530
Nonlinear parameter optimization using R tools
Published 2014Table of Contents: “…Chapter 3 Software structure and interfaces3.1 Perspective; 3.2 Issues of choice; 3.3 Software issues; 3.4 Specifying the objective and constraints to the optimizer; 3.5 Communicating exogenous data to problem definition functions; 3.5.1 Use of ""global'' data and variables; 3.6 Masked (temporarily fixed) optimization parameters; 3.7 Dealing with inadmissible results; 3.8 Providing derivatives for functions; 3.9 Derivative approximations when there are constraints; 3.10 Scaling of parameters and function; 3.11 Normal ending of computations; 3.12 Termination tests-abnormal ending.…”
Full text (MFA users only)
Electronic eBook -
531
Trading on sentiment : the power of minds over markets
Published 2016Full text (MFA users only)
Electronic eBook -
532
-
533
Business Hack : the Wealth Dragon Way to Build a Successful Business in the Digital Age.
Published 2018Full text (MFA users only)
Electronic eBook -
534
Remote Sensing Digital Image Analysis : an Introduction
Published 1993Table of Contents: “…More Advanced Considerations -- 8.8 Context Classification -- 8.8.1 The Concept of Spatial Context -- 8.8.2 Context Classification by Image Pre-Processing -- 8.8.3 Post Classification Filtering -- 8.8.4 Probabilistic Label Relaxation -- 8.8.4.1 The Basic Algorithm -- 8.8.4.2 The Neighbourhood Function -- 8.8.4.3 Determining the Compatibility Coefficients -- 8.8.4.4 The Final Step -- Stopping the Process -- 8.8.4.5 Examples -- 8.9 Classification of Mixed Image Data -- 8.9.1 The Stacked Vector Approach -- 8.9.2 Statistical Methods -- 8.9.3 The Theory of Evidence -- 8.9.3.1 The Concept of Evidential Mass -- 8.9.3.2 Combining Evidence -- the Orthogonal Sum -- 8.9.3.3 Decision Rule -- 8.10 Classification Using Neural Networks -- 8.10.1 Linear Discrimination -- 8.10.1.1 Concept of a Weight Vector -- 8.10.1.2 Testing Class Membership -- 8.10.1.3 Training -- 8.10.1.4 Setting the Correction Increment -- 8.10.1.5 Classification -- The Threshold Logic Unit -- 8.10.1.6 Multicategory Classification -- 8.10.2 Networks of Classifiers -- Solutions of Nonlinear Problems -- 8.10.3 The Neural Network Approach -- 8.10.3.1 The Processing Element -- 8.10.3.2 Training the Neural Network -- Backpropagation -- 8.10.3.3 Choosing the Network Parameters -- 8.10.3.4 Examples -- References for Chapter 8 -- Problems -- 9 -- Clustering and Unsupervised Classification -- 9.1 Delineation of Spectral Classes -- 9.2 Similarity Metrics and Clustering Criteria -- 9.3 The Iterative Optimization (Migrating Means) Clustering Algorithm -- 9.3.1 The Basic.…”
Full text (MFA users only)
Electronic eBook -
535
Introduction to numerical electrostatics using MATLAB
Published 2014Full text (MFA users only)
Electronic eBook -
536
Concise dictionary of engineering : a guide to the language of engineering
Published 2014Full text (MFA users only)
Electronic eBook -
537
-
538
Tracking with particle filter for high-dimensional observation and state spaces
Published 2015Table of Contents: “…Application to tracking shapes; 3.4. Conjoint estimation of dynamic and static parameters; 3.5. …”
Full text (MFA users only)
Electronic eBook -
539
Diatoms : ecology and life cycle
Published 2011Table of Contents: “…""DIATOMS: ECOLOGY AND LIFE CYCLE""; ""DIATOMS: ECOLOGY AND LIFE CYCLE""; ""Contents""; ""Preface""; ""The Role of Environmental Factors in Shaping Diatom Frustule: Morphological Plasticity and Teratological Forms""; ""Abstract""; ""1. …”
Full text (MFA users only)
Electronic eBook -
540
XML for DB2 information integration
Published 2004Table of Contents: “…Shredding XML into relational tables -- 6.1 Shredding overview -- 6.1.1 What is shredding? -- 6.1.2 When should you use shredding? -- 6.2 Shredding using DB2 XML Extender -- 6.2.1 Shredding -- planning and design -- 6.2.2 Planning and design: hints and tips -- 6.2.3 Shredding: configuration and execution -- 6.3 Alternatives to shredding with DB2 XML Extender -- 6.3.1 Using the XML wrapper -- 6.3.2 Writing your own code -- 6.4 Shredding with XML Extender: a step-by-step example -- 6.4.1 Step 1 -- XML enabling of your database -- 6.4.2 Step 2 -- Creating the DAD file -- 6.4.3 Step 3 -- Enablement of the XML collection -- 6.4.4 Step 4 -- Decomposing the XML data into relational tables -- 6.4.5 Step 5 -- Checking the result using the SELECT statement -- Chapter 7. …”
Full text (MFA users only)
Electronic eBook