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1. Quantum machine learning
: what quantum computing means to data mining
by Wittek, Peter, author
2014, First edition., ISBN 0128009535, x, 163 pages
Data mining | Quantum theory | Machine learning | Data processing | Mathematical models | Quantum computers | Statistical methods | Educational statistics | Research | Education | Data- och informationsvetenskap | support vector machines | Quantum Information Theory | Biblioteks- och informationsvetenskap | supervised learning | neural networks | quantum optimization | quantum learning of unitary | Computer and Information Sciences | machine learning | Hopfield networks | unsupervised learning | adiabatic processes | Library and Information Science | Naturvetenskap | quantum computing | process tomography | clustering | Natural Sciences
Book
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2. Learning in non-stationary environments
: methods and applications
by Sayed-Mouchaweh, Moamar and Lughofer, Edwin
2012, 1. Aufl., ISBN 1441980202, Volume 9781441980205, xii, 440
Computational intelligence | Machine learning | Optical pattern recognition | Pattern perception | Soft computing | Data mining
Book
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3. Learning in non-stationary environments
: methods and applications
by Sayed-Mouchaweh, Moamar and Lughofer, Edwin
2012, 2012, ISBN 1441980202, Volume 9781441980205, xii, 440
Computational intelligence | Machine learning | Engineering | Pattern Recognition | Computational Intelligence | Data Mining and Knowledge Discovery
Book
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4. The elements of statistical learning
: data mining, inference, and prediction
by Hastie, Trevor and Tibshirani, Robert and Friedman, J. H
2009, 2nd ed., Springer series in statistics, ISBN 0387848576, xxii, 745
Methodology | Machine learning | Inference | Data mining | Statistics | Bioinformatics | Forecasting | Computational intelligence | Supervised learning (Machine learning) | Mathematical statistics
Book
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5. Learning to rank for information retrieval and natural language processing
by Li, Hang, 1965
2011, Synthesis lectures on human language technology, ISBN 1608457079, Volume 12, ix, 101
Ranking and selection (Statistics) | Information retrieval | Natural language processing (Computer science) | Supervised learning (Machine learning) | Computing and Processing | collaborative filtering | ranking aggregation | natural language processing | ranking and selection (statistics) | supervised learning | information retrieval | machine learning | ranking creation | web search | natural language processing (computer science) | machine translation | ranking | learning to rank
Book
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6. Full Text Active Learning
by Settles, Burr
2012, Synthesis Lectures on Artificial Intelligence and Machine Learning, ISBN 1608457265, Volume 18, 116
Computing and Processing | Mainframes & Minicomputers | Intelligence(AI) & Semantics | Machine Theory | COMPUTERS | Mainframes & Minicomputers see Hardware | Active learning | Machine learning | query by disagreement | active learning | hierarchical sampling | expected error reduction | optimal experimental design | variance reduction | uncertainty sampling | query learning | query by committee
eBook
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7. Full Text Machine Learning
by Louridas, Panos and Ebert, Christof
IEEE software, ISSN 0740-7459, 09/2016, Volume 33, Issue 5, pp. 110 - 115
software development | software technology | H2O | SAS | Artificial neural networks | Hadoop | Complexity theory | Clustering | ANNs | unsupervised learning | Julia | deep learning | dimensionality reduction | Neural networks | Supervised learning | regression | Machine learning | Classification | Spark | Software engineering | Python | Matlab | TensorFlow | supervised learning | classification | machine learning | artificial neural networks | clustering | software engineering | Software technology | Computer Science, Software Engineering | Technology | Computer Science | Science & Technology | Studies | Training | Artificial intelligence | Concretes | Software | Tasks | Computer programs
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8. Full Text Deep learning in neural networks: An overview
by Schmidhuber, Jürgen
Neural networks, ISSN 0893-6080, 01/2015, Volume 61, pp. 85 - 117
Deep learning | Supervised learning | Unsupervised learning | Reinforcement learning | Evolutionary computation | Neurosciences | Life Sciences & Biomedicine | Technology | Computer Science | Computer Science, Artificial Intelligence | Neurosciences & Neurology | Science & Technology | Artificial Intelligence - classification | Artificial Intelligence - standards | Artificial Intelligence - trends | Neural networks | Machine learning | Index Medicus
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