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Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field;
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The goal of this book is to present and evaluate the concept of dynamic testing. Unlike 'static' tests such as the SAT or IQ tests, dynamic;
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non-conscious learning, indexing, and the cognitive structures that underlie learning by doing. Dynamic Memory Revisited is crucial reading;
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non-conscious learning, indexing, and the cognitive structures that underlie learning by doing. Dynamic Memory Revisited is crucial reading;
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Improving Learning Through Dynamic Assessment is a practical tool for helping to assess and support children aged 4+ with learning;
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"The goal of this book is to present and evaluate the concept of dynamic testing. Unlike ""static"" tests such as the SAT or IQ tests, it;
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* A complete resource to Approximate Dynamic Programming (ADP), including on-line simulation code* Provides a tutorial that readers can use;
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an introductory course to DGE modelling and for those economists who would like a hands-on approach to learning the basics of modern dynamic;
Vergelijkbare producten zoals Introduction to Dynamic Macroeconomic General Equilibrium Models
an introductory course to DGE modelling and for those economists who would like a hands-on approach to learning the basics of modern dynamic;
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This volume of papers develops the competence perspective on learning and dynamic capabilities development. The first two papers explore;
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optimization problems. Special focus is given to algorithm selection and configuration, learning, fitness landscape, applications, dynamic optimization;
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learning motivation from a complex dynamic systems perspective.;
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when using learning and adaptation methods to solve academic and industrial problems, such as optimization in dynamic environments with single;
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This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify;
Vergelijkbare producten zoals Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint
This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify;
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extend reinforcement learning to adaptive, multitask learning in complex, dynamic environments - the goal being to understand how machines can;
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agent's types.Consolidating the research agenda on learning, experimentation, and dynamic mechanism design, which has been prominent in the area;
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intimate relation between mediated learning interactions and cognitive modifiability and of dynamic assessment underlying measurement of cognitive;
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in play and learning scholarship, offering clarity and breadth in this dynamic and changing field.;
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This book focuses on the dynamic nature of EAP (English for academic purposes) learners' beliefs about language learning in their shift;
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The Dynamic Systems Theory perspective offers new lenses to probe into long-term foreign language development. This book reports on;
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study dynamic trajectories of language learning, empirical investigations into the above-mentioned theoretical concepts, and innovative;
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instinctive reactions to combat situations. Instinctive Groundfighting presents a new Dynamic Training Method aiming at learning to fight without;
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Structural Impact is concerned with the behaviour of structures and components subjected to large dynamic, impact and explosive loads which;
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Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and;
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