Artificial Intelligence
General & Data Mining::Clustering, Classification, and Regression; PCA, MLP, and NNPLS; Un-/Semi-/Supervised Learning; Feature Selection
- L.I. Smith (2002) A Tutorial on Principal Components Analysis
- A.K. Jain, M.N. Murty, and P.J. Flynn (1999) Data Clustering: A Review
- A.K. Jain and R.C. Dubes (1988) Algorithms for Clustering Data
- X. Rui and W. Donald (2005) Survey of Clustering Algorithms
- B. Pavel (2002) Survey of Clustering Data Mining Techniques
- X. Zhu (2006) Semi-Supervised Learning Literature Survey
- M. Seeger(2002) Learning with Labeled and Unlabeled Data
- I. Buyon and A. Elisseeff (2003) An Introduction to Variable and Feature Selection
- L. Yang (2006) Distance Metric Learning: A Comprehensive Survey
- M. Halkidi, Y. Batistakis, and M. Vazirgiannis (2001) On Clustering Validation Techniques
- F.R. Kschischang, B.J. Frey, and HA. Loeliger (2001) Factor Graphs and the Sum-Product Algorithm
- Anil K. Jain, Robert P.W. Duin, and Jianchang Mao (2000) Statistical Pattern Recognition: A Review
Optimization & Control::Quality Management & MPC (Model Predictive Control)
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