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...
