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Machine Learning: End-to-End guide for Java developers

You're reading from   Machine Learning: End-to-End guide for Java developers Data Analysis, Machine Learning, and Neural Networks simplified

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Product type Course
Published in Oct 2017
Publisher Packt
ISBN-13 9781788622219
Length 1159 pages
Edition 1st Edition
Languages
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Authors (2):
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Krishna Choppella Krishna Choppella
Author Profile Icon Krishna Choppella
Krishna Choppella
Uday Kamath Uday Kamath
Author Profile Icon Uday Kamath
Uday Kamath
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Toc

Appendix A. References

The following are the references for all the citations throughout the book:

  • Adomavicius, G. and Tuzhilin, A.. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), 734-749. 2005.
  • Bengio, Y.. Learning Deep Architectures for AI. Foundations and Trends in Machine Learning 2(1), 1-127. 2009. Retrieved from http://www.iro.umontreal.ca/~bengioy/papers/ftml.pdf.
  • Blei, D. M., Ng, A. Y., and Jordan, M. I.. Latent dirichlet allocation. Journal of Machine Learning Research. 3, 993–1022. 2003. Retrieved from: http://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf.
  • Bondu, A., Lemaire, V., Boulle, M.. Exploration vs. exploitation in active learning: A Bayesian approach. The 2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain. 2010.
  • Breunig, M. M., Kriegel, H.-P., Ng, R. T., Sander, J.. LOF: Identifying Density-based Local Outliers...
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