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Connectionism And Neural Nets (I.2.6...)
Machine learning for decision makers: cognitive computing fundamentals for better decision making
Kashyap P., Apress, New York, NY, 2017. 355 pp. Type: Book (978-1-484229-87-3)
Machine learning (ML) encompasses a myriad of technical, business, social, and scientific methods and disciplines. Project managers and technology experts are faced with an ever-expanding field of new concepts, vocabulary, algorithms, and even leg...
Apr 26 2019
Learning safe multi-label prediction for weakly labeled data
Wei T., Guo L., Li Y., Gao W. Machine Learning 107(4): 703-725, 2018. Type: Article
Many real-world applications involve learning in the presence of multiple labels. For example, in the case of images, a single image may be labeled sky, cloud, or even flower. To make matters more complicated, the dataset for training may have mis...
Sep 11 2018
Neural network methods in natural language processing
Goldberg Y., Morgan & Claypool Publishers, San Rafael, CA, 2017. 310 pp. Type: Book (978-1-627052-98-6)
Deep learning has become the catchphrase to refer to artificial neural networks, one of the hottest research areas within machine learning. Now in their third generation, artificial neural networks have been used to crack problems that were unfeas...
Mar 26 2018
Artificial intelligence in financial markets: cutting edge applications for risk management, portfolio optimization and economics
Dunis C., Middleton P., Karathanasopolous A., Theofilatos K., Palgrave Macmillan, London, UK, 2016. 344 pp. Type: Book (978-1-137488-79-4)
Focused on artificial intelligence and its application in finance, this book is the first volume in the series “New Developments in Quantitative Trading and Investment.”...
Sep 20 2017
The fundamentals of computational intelligence: system approach
Zgurovsky M., Zaychenko Y., Springer International Publishing, New York, NY, 2016. 373 pp. Type: Book (978-3-319351-60-5)
Not for the faint-hearted or those without mathematical knowledge, the rhythm of this book is as follows: first, it provides a profound formal description grounded in mathematics in some sections of chapters, and then there is a section that is de...
Apr 21 2017
Artificial neural networks: a practical course
da Silva I., Spatti D., Flauzino R., Liboni L., dos Reis Alves S., Springer International Publishing, New York, NY, 2016. 307 pp. Type: Book (978-3-319431-61-1)
The topic of artificial neural networks is one of the areas within the computing discipline of soft computing. Their architecture and use are based on the operation of a biological neural system. As such, there is an inherent parallelism in the pr...
Apr 13 2017
Issues in the use of neural networks in information retrieval
Iatan I., Springer International Publishing, New York, NY, 2016. 199 pp. Type: Book (978-3-319438-70-2)
At the beginning of a calendar year that has been declared as the year of artificial intelligence (AI), with the revivals of bad and good experiences as well as fiercely debated topics in the traditional field of AI (which goes back to the Turing ...
Mar 15 2017
Recent advances in deep learning
Oriol Vinyals. YouTube, 01:17:03, published on Jan 28, 2016, stanfordonline,
. Type: Video
The applications of deep learning (DL) are expanding from machine learning to other areas of artificial intelligence (AI). Recently, concepts like deep networks, deep reinforcement learning, and recurrent neural networks have come up as the result...
Jul 11 2016
Opinion question answering by sentiment clip localization
Pang L., Ngo C. ACM Transactions on Multimedia Computing, Communications, and Applications 12(2): 1-19, 2015. Type: Article
This application of artificial intelligence (AI) demonstrates two things: the astonishing types of questions algorithms can answer today, and (implicitly) what challenges and limitations we currently still face despite the current renewed hype in ...
Apr 12 2016
Networks of networks: the last frontier of complexity
D’Agostino G., Scala A., Springer Publishing Company, Incorporated, Cham, Switzerland, 2014. 355 pp. Type: Book (978-3-319035-17-8), Reviews: (2 of 2)
A network is a fundamental entity observed everywhere in nature. We observe a wide variety of networks around us, such as computer networks, social networks, communication networks, transport (rail and road) networks, financial networks, protein n...
Mar 11 2015
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