Search Results - (((((((ant OR wkant) OR semantic) OR wind) OR cantor) OR anne) OR shape) OR hints) algorithms.

Chemical engineering and material properties III : selected, peer reviewed papers from the 2014 4th International Symposium on Chemical Engineering and Material Properties (ISCEMP...

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Biological computation by Lamm, Ehud

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The image-interface : graphical supports for visual information by Reyes-Garcia, Everardo

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Atlas of AI : power, politics, and the planetary costs of artificial intelligence by Crawford, Kate, 1976-

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Nonlinear science and complexity

Table of Contents: “…Bruzón -- Applying a new algorithm to derive nonclassical symmetries / M.S. …”
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Poetry and Mind : Tractatus Poetico-Philosophicus by Dubreuil, Laurent

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DEEP LEARNING FOR HEALTHCARE DECISION MAKING.

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Microwave and millimeter wave circuits and systems : emerging design, technologies, and applications

Table of Contents: “…1.1.7 MBF Model -- the Memoryless PA Behavioural Model of ChoiceAcknowledgements; References; 2 Artificial Neural Network in Microwave Cavity Filter Tuning; 2.1 Introduction; 2.2 Artificial Neural Networks Filter Tuning; 2.2.1 The Inverse Model of the Filter; 2.2.2 Sequential Method; 2.2.3 Parallel Method; 2.2.4 Discussion on the ANN's Input Data; 2.3 Practical Implementation -- Tuning Experiments; 2.3.1 Sequential Method; 2.3.2 Parallel Method; 2.4 Influence of the Filter Characteristic Domain on Algorithm Efficiency; 2.5 Robots in the Microwave Filter Tuning; 2.6 Conclusions; Acknowledgement…”
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Exact methods in low-dimensional statistical physics and quantum computing : École d'été de physique des Houches, session LXXXIX, 30 June-1 August 2008, École thématique du CNRS...

Table of Contents: “…7.11 The Legendre transform of the free energy7.12 The limit shape phenomenon -- 7.13 Semiclassical limits -- 7.14 The free-fermionic point and dimer models -- 7.A Appendix -- References -- 8 Mathematical aspects of 2D phase transitions -- PART II: SHORT LECTURES -- 9 Numerical simulations of quantum statistical mechanical models -- 9.1 Introduction -- 9.2 A rapid survey of methods -- 9.3 Path integral and related methods -- 9.4 Classical worm algorithm -- 9.5 Projection methods -- 9.6 Valence bond projection method -- References…”
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Uncertainty, expectations, and financial instability : reviving Allais's lost theory of psychological time by Barthalon, Eric

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Spatial control of vibration : theory and experiments by Moheimani, S. O. Reza, 1967-, Fleming, Andrew J., 1977-

Table 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.…”
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Kotlin standard library cookbook : master the powerful Kotlin standard library through practical code examples by Urbanowicz, Samuel

Table 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…”
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D Cookbook. by D. Ruppe, Adam

Table of Contents: “…Performing type conversionsFinding the largest files in a directory; Creating a network client and server; Using Base64 to create a data URI; Generating random numbers; Normalizing a string and performing Unicode comparisons; Searching with regular expressions; Writing a digest utility; Using std.zlib compression; Using the std.json module; Chapter 3: Ranges; Introduction; Using ranges when implementing an algorithm; Creating an input range; Creating an output range; Creating a higher-order range; Putting a range interface on a collection; Creating an input range over a tree structure…”
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Towards Cognitive Autonomous Networks : Network Management Automation for 5G and Beyond. by Mwanje, Stephen S.

Table of Contents: “…Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Foreword I -- Foreword II -- Preface -- Chapter 1 The Need for Cognitive Autonomy in Communication Networks -- 1.1 Complexity in Communication Networks -- 1.1.1 The Network as a Graph -- 1.1.2 Planes, Layers, and Cross-Functional Design -- 1.1.3 New Network Technology -- 5G -- 1.1.4 Processes, Algorithms, and Automation -- 1.1.5 Network State Changes and Transitions -- 1.1.6 Multi-RAT Deployments -- 1.2 Cognition in Network Management Automation -- 1.2.1 Business, Service and Network Management Systems…”
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What to Do When Machines Do Everything : Five Ways Your Business Can Thrive in an Economy of Bots, AI, and Data. by Frank, Malcolm

Table of Contents: “…What to Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data; Contents; Preface; 1: When Machines Do Everything; Like It or Not, This Is Happening; Digital That Matters; Playing the New Game; But Will I Be Automated Away?…”
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Contemporary Ergonomics 1998. by Hanson, Margaret A.

Table of Contents: “…Development of a questionnaire to measure attitudes towards virtual reality -- Orientation of blind users on the World Wide Web -- F̃lash, splash and crash:̃ Human factors and the implementation of innovative Web technologies -- Determining ergonomic factors in stress from work demands of nurses -- A risk assessment and control cycle approach to managing workplace stress -- Teleworking: Assessing the risks -- Evaluating teleworking -- case study -- Team organisational mental models: an integrative framework for research -- The impact of ITT on virtual team working in the European automotive industry -- The effect of communication processes upon workers and job efficiency -- A case study of job design in a steel plant -- The effects of age and habitual physical activity on the adjustment to nocturnal shiftwork -- Job design for university technicians: work activity and allocation of function -- Allocation of functions and manufacturing job design based on knowledge requirements -- The need to specify cognition within system requirements -- Analysis of complex communication tasks -- Health and safety as the basis for specifying information systems design requirements -- Cognitive algorithms -- Rapid prototyping in foam of 3D anthropometric computer models in functional postures -- The use of high and low level prototyping methods for product user interfaces -- Creative collaboration in engineering design teams -- Pleasure and product semantics -- A survey of usability practice and needs in Europe -- Cultural influence in usability assessment -- Interface display designs based on operator knowledge requirements -- Understanding what makes icons effective: how subjective ratings can inform design -- Representing uncertainty in decision support systems: the state of the art.…”
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Pediatric incontinence : evaluation and clinical management

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Knowledge mining using intelligent agents

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Remote Sensing Digital Image Analysis : an Introduction by Richards, John A.

Table 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.…”
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Introduction to numerical electrostatics using MATLAB by Dworsky, Lawrence N., 1943-

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