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  Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Learning (I.2.6)
  Learning (I.2.6) See Reviews  
Subject Descriptors:
Analogies (19)
Concept Learning (47)
Connectionism And Neural Nets (196)
Induction (55)
Knowledge Acquisition (114)
Language Acquisition (12)
Parameter Learning (26)
Proper Nouns:
Sage (1)
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Reviews about "Learning (I.2.6)":
 Deep learning neural networks: design and case studies
Graupe D.,  World Scientific Publishing Co, Inc., River Edge, NJ, 2016. 200 pp. Type: Book
Support vector machines and perceptrons: learning, optimization, classification, and application to social networks
Murty M., Raghava R.,  Springer International Publishing, New York, NY, 2016. 95 pp. Type: Book (978-3-319410-62-3)
Introduction to statistical machine learning
Sugiyama M.,  Morgan Kaufmann Publishers Inc., San Francisco, CA, 2016. 534 pp. Type: Book, Reviews: (2 of 2)
Generalized deep transfer networks for knowledge propagation in heterogeneous domains
Tang J., Shu X., Li Z., Qi G., Wang J.  ACM Transactions on Multimedia Computing, Communications, and Applications 12(4s): 1-22, 2016. Type: Article
Online bagging and boosting for imbalanced data streams
Wang B., Pineau J.  IEEE Transactions on Knowledge and Data Engineering 28(12): 3353-3366, 2016. Type: Article
A survey on context learning
Xun G., Jia X., Gopalakrishnan V., Zhang A.  IEEE Transactions on Knowledge and Data Engineering 29(1): 38-56, 2017. Type: Article
From curve fitting to machine learning: an illustrative guide to scientific data analysis and computational intelligence (2nd ed.)
Zielesny A.,  Springer International Publishing, New York, NY, 2016. 498 pp. Type: Book (978-3-319325-44-6)
Related Topics
I.2.6 Learning
  - Computer And Information Science Education
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