Machine learning.
概要
| 作品: | 220 作品在 148 項出版品 148 種語言 | |
|---|---|---|
書目資訊
An inductive logic programming approach to statistical relational learning[electronic resource] /
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Approximation methods for efficient learning of Bayesian networks[electronic resource] /
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Learning in non-stationary environments[electronic resource] :methods and applications /
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Intelligent data analysis for real-life applications[electronic resource] :theory and practice /
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Machine learning algorithms for problem solving in computational applications[electronic resource] :intelligent techniques /
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Machine learning in computer-aided diagnosis[electronic resource] :medical imaging intelligence and analysis /
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Machine interpretation of patterns[electronic resource] :image analysis and data mining /
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Scientific data mining and knowledge discovery[electronic resource] :principles and foundations /
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Diagnostic test approaches to machine learning and commonsense reasoning systems[electronic resource] /
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Machine learning for human motion analysis[electronic resource] :theory and practice /
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Machine learning and knowledge discovery for engineering systems health management[electronic resource] /
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Machine learning for adaptive many-core machines[electronic resource] :a practical approach /
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Shape understanding system[electronic resource] :machine understanding and human understanding /
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Grammar-based feature generation for time-series prediction[electronic resource] /
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Multidimensional particle swarm optimization for machine learning and pattern recognition[electronic resource] /
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Sample efficient multiagent learning in the presence of Markovian agents[electronic resource] /
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Hybrid classifiers[electronic resource] :methods of data, knowledge, and classifier combination /
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Analysis and design of machine learning techniques[electronic resource] :evolutionary solutions for regression, prediction, and control problems /
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Conformal prediction for reliable machine learning[electronic resource] :theory, adaptations, and applications /
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Quantum machine learning[electronic resource] :what quantum computing means to data mining /
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Reinforcement and systemic machine learning for decision making[electronic resource] /
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Autonomous learning systems[electronic resource] :from data streams to knowledge in real-time /
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Iterative learning control for electrical stimulation and stroke rehabilitation[electronic resource] /
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Machine learning paradigms[electronic resource] :applications in recommender systems /
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Machine learning in radiation oncology[electronic resource] :theory and applications /
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Machine learning for audio, image and video analysis[electronic resource] :theory and applications /
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Artificial intelligence applications in information and communication technologies[electronic resource] /
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Measures of complexity[electronic resource] :festschrift for Alexey Chervonenkis /
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Mathematical problems in data science[electronic resource] :theoretical and practical methods /
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Knowledge transfer between computer vision and text mining[electronic resource] :similarity-based learning approaches /
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From curve fitting to machine learning[electronic resource] :an illustrative guide to scientific data analysis and computational intelligence /
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Machine Learning Models and Algorithms for Big Data Classification[electronic resource] :Thinking with Examples for Effective Learning /
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Teaching learning based optimization algorithm[electronic resource] :and its engineering applications /
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Rule based systems for big data[electronic resource] :a machine learning approach /
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Machine learning techniques for gait biometric recognition[electronic resource] :using the ground reaction force /
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Machine learning in Python[electronic resource] :essential techniques for predictive analysis /
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Machine learning[electronic resource] :hands-on for developers and technical professionals /
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Fundamentals of machine learning for predictive data analytics :algorithms, worked examples, and case studies /
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Deep learning step by step with Python :a very gentle introduction to deep neural networks for practical data science /
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Getting started with TensorFlow :get up and running with the latest numerical computing library by Google and dive deeper into your data! /
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Python machine learning :machine learning and deep learning with Python, scikit-learn, and TensorFlow /
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The deep learning A.I. playbook :strategy for disruptive artificial intelligence /
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Hands-on machine learning with Scikit-Learn and TensorFlow :concepts, tools, and techniques to build intelligent systems /
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Introduction to deep learning using R :a step-by-step guide to learning and implementing deep learning models using R /
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Praxiseinstieg Deep Learning :mit Python, Caffe, TensorFlow und Spark eigene Deep-Learning-Anwendungen erstellen /
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Machine learning for health informatics[electronic resource] :state-of-the-art and future challenges /
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PyTorch deep learning hands-on :apply modern AI techniques with CNNs, RNNs, GANs, reinforcement learning, and more /
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Deep learning illustrated :a visual, interactive guide to artificial intelligence /
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Deep learning with PyTorch :a practical approach to building neural network models using PyTorch /
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Hands-on machine learning for algorithmic trading :design and implement investment strategies based on smart algorithms that learn from data using Python /
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A machine learning, artificial intelligence approach to institutional effectiveness in higher education /
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Machine learning refined[electronic resource] :foundations, algorithms, and applications /
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Predicting hotspots[electronic resource] :using machine learning to understand civil conflict /
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Deep learning for autonomous vehicle control :algorithms, state-of-the-art, and future prospects /
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Fundamentals of deep learning :designing next-generation machine intelligence algorithms /
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Electrocardiogram signal classification and machine learning[electronic resource] :emerging research and opportunities /
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Enhancing software fault prediction with machine learning[electronic resource] :emerging research and opportunities /
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Next-generation wireless networks meet advanced machine learning applications[electronic resource] /
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Machine learning and cognitive science applications in cyber security[electronic resource] /
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Deep learning strategies for security enhancement in wireless sensor networks[electronic resource] /
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Smart agricultural services using deep learning, big data, and IoT[electronic resource] /
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Research advancements in smart technology, optimization, and renewable energy[electronic resource] /
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Challenges and applications for implementing machine learning in computer vision[electronic resource] /
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Machine learning and data analytics for predicting, managing, and monitoring disease[electronic resource] /
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Handbook of research on machine learning techniques for pattern recognition and information security[electronic resource] /
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Blockchain, big data and machine learning[electronic resource] :trends and applications /
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Generalization with deep learning[electronic resource] :for improvement on sensing capability /
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Machine learning[electronic resource] :a journey to deep learning : with exercises and answers /
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Deep learning for EEG-based brain-computer interfaces[electronic resource] :representations, algorithms and applications /
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Demystifying big data, machine learning, and deep learning for healthcare analytics[electronic resource] /
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Machine learning and the internet of medical things in healthcare[electronic resource] /
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Deep learning for data analytics[electronic resource] :foundations, biomedical applications, and challenges /
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Machine learning applications for accounting disclosure and fraud detection[electronic resource] /
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Handbook of research on disease prediction through data analytics and machine learning[electronic resource] /
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Handbook of research on machine and deep learning applications for cyber security[electronic resource] /
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Handbook of research on emerging trends and applications of machine learning[electronic resource] /
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Deep learning applications and intelligent decision making in engineering[electronic resource] /
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Machine learning applications in non-conventional machining processes[electronic resource] /
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Examining optoelectronics in machine vision and applications in industry 4.0[electronic resource] /
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Deep learning-based image analysis under constrained and unconstrained environments[electronic resource] /
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Probabilistic approaches for social media analysis[electronic resource] :data, community and influence /
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The lognormality principle and its applications in e-security, e-learning and e-health[electronic resource] /
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Introduction to deep learning for engineers[electronic resource] :using python and google cloud platform /
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Multi-armed bandits[electronic resource] :theory and applications to online learning in networks /
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Machine learning for solar array monitoring, optimization, and control[electronic resource] /
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Deep learning and parallel computing environment for bioengineering[electronic resource] /
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Machine learning in biotechnology and life sciences :build machine learning models using Python and deploy them on the cloud /
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Machine learning and AI techniques in interactive medical image analysis[electronic resource] /
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Applications of computational science in artificial intelligence[electronic resource] /
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Applications of machine learning and deep learning for privacy and cybersecurity[electronic resource] /
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Controlling epidemics with mathematical and machine learning models[electronic resource] /
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Artificial intelligence and machine learning techniques for civil engineering[electronic resource] /
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Predictive analytics using statistics and big data[electronic resource] :concepts and modeling /
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Artificial intelligence and internet of things for renewable energy systems[electronic resource] /
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Data science for business professionals[electronic resource] :a practical guide for beginners /
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