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Reinforcement and Systemic Machine Learning for Decision Making explores a newer and growing avenue of machine learning algorithm in the;
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understand the distinguishing signs and symptoms among many different local and systemic neuro-ophthalmic disorders in order to provide the most;
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-ophthalmologic and neuro-otologic disorders, sleep disorders, and others Major categories of systemic illness are explored for each presentation to guide;
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This issue of Neurologic Clinics, edited by Drs. Patrick Y. Wen and Eudocia Quant Lee, will focus on Neuro-oncology. Topiocs include, but;
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This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020;
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illustrations [are] invaluable to students learning about these disorders. - Doody's Review With nearly 900 illustrations and the combined 40-year;
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different types of deep neuro fuzzy classifiers, fuzzy neurons, and the adaptive learning capability of the neural networks. The book concludes by;
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, hybrid models, machine learning, meta heuristics, neuro fuzzy system, and optimization principles. The book acts as a reference book for AI;
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challenges, machine learning, data mining, information retrieval and management, bio-neuro-informatics, bio-inspired models (including neural;
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, machine learning, data mining, information retrieval and management, bio-neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent;
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, machine learning, data mining, information retrieval and management, bio-neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent;
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challenges, machine learning, data mining, information retrieval and management, bio-neuro-informatics, bio-inspired models (including neural;
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This book functions as a resource for providers who treat patients with neuro-ophthalmic conditions. Using an evidence-based approach to;
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Neuro-Fuzzy Inference System (ANFIS), Gaussian Process Regression (GPR), Relevance Vector Machine (RVM), Extreme Learning Machine (ELM). Chapter;
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This book covers different topics from soft computing and neuro-fuzzy systems, including intelligent neuro-fuzzy models, adaptive neuro;
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Applications of NLP is een boek van Robert B. Dilts;...
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Brain metastases are frequently encountered in the neuro-oncological field. It has been estimated that 170,000 people a year in the USA;
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In the growing field of neuro-oncology, the past few years have witnessed rapid advances in tumor classification, treatment modalities, and;
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their association with behavior and learning. Of late, neuroscience research is playing a pivotal role in industry, science writing, government;
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This innovative collection brings together contributions from established and emerging scholars highlighting the appliability of Systemic;
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Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing presents new;
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networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and;
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networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and;
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Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains;
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Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains;
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include theory and application of soft computing, neuro-fuzzy technology, intelligent control, deep learning-machine learning, fuzzy logic in data;
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