Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control
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Yuhua Li | Liam P. Maguire | Michael McCann | Adrian Johnston | L. Maguire | Yuhua Li | M. McCann | A. Johnston
[1] Steve R. Gunn,et al. Result Analysis of the NIPS 2003 Feature Selection Challenge , 2004, NIPS.
[2] Pietro F. Peretto,et al. Industrial development, technological change, and long-run growth , 1999 .
[3] Hyunbo Cho,et al. Feature selection techniques and comparative studies for large-scale manufacturing processes , 2006 .
[4] Stanisław Radkowski,et al. Geometrical method of selection of features of diagnostic signals , 2007 .
[5] David N. Card,et al. Sorting out Six Sigma and the CMM , 2000 .
[6] J. Feng,et al. Intelligent system architecture for process operation support , 2000 .
[7] David K. Harrison,et al. Systems for Planning and Control in Manufacturing , 2002 .
[8] Gérard Dreyfus,et al. Ranking a Random Feature for Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[9] Sanmay Das,et al. Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection , 2001, ICML.
[10] Naftali Tishby,et al. Margin based feature selection - theory and algorithms , 2004, ICML.
[11] Franci Cus,et al. Optimization of cutting process by GA approach , 2003 .
[12] Bernhard Schölkopf,et al. Feature Selection for Troubleshooting in Complex Assembly Lines , 2007, IEEE Transactions on Automation Science and Engineering.
[13] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[14] R Guh. IntelliSPC: a hybrid intelligent tool for on-line economical statistical process control , 1999 .
[15] Michael I. Jordan,et al. Feature selection for high-dimensional genomic microarray data , 2001, ICML.
[16] Jason Weston,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.
[17] Using recurrent neural networks to detect changes in autocorrelated processes for quality monitoring , 2007, Comput. Ind. Eng..
[18] Douglas C. Schmidt,et al. A methodology for formulating, formalizing, validating, and evaluating a real-time process control advisor , 1998 .
[19] Soundar Kumara,et al. Fuzzy logic and neural networks for design of process parameters: A grinding process application , 1998 .
[20] Bernhard Schölkopf,et al. Feature selection and transduction for prediction of molecular bioactivity for drug design , 2003, Bioinform..
[21] Mineichi Kudo,et al. Non-parametric classifier-independent feature selection , 2006, Pattern Recognit..
[22] Ran El-Yaniv,et al. Distributional Word Clusters vs. Words for Text Categorization , 2003, J. Mach. Learn. Res..
[23] Pat Langley,et al. Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..
[24] Piero P. Bonissone,et al. Six Sigma Applied Throughout the Lifecycle of an Automated Decision System , 2005 .
[25] Masoud Nikravesh,et al. Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing) , 2006 .
[26] Jianchu Kang,et al. A comparative study on unsupervised feature selection methods for text clustering , 2005, 2005 International Conference on Natural Language Processing and Knowledge Engineering.
[27] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[28] Masoud Nikravesh,et al. Feature Extraction - Foundations and Applications , 2006, Feature Extraction.
[29] Leslie W. Flott. Six-sigma controversy , 2000 .
[30] Randy J. Pell,et al. Genetic algorithms combined with discriminant analysis for key variable identification , 2004 .
[31] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..