Books on the topic 'Feature and model selection'

Hristea, Florentina T. The Naïve Bayes Model for Unsupervised Word Sense Disambiguation: Aspects Concerning Feature Selection. Springer Berlin Heidelberg, 2013.

Jensen, Richard. Computational intelligence and feature selection: Rough and fuzzy approaches. Wiley, 2008.

Liu, Huan, and Hiroshi Motoda, eds. Feature Extraction, Construction and Selection. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5725-8.

Cakmakov, Dusan. Feature selection for pattern recognition. Informa, 2002.

missing], [name. Model selection. Institute of Mathematical Statistics, 2003.

W, Zucchini, ed. Model selection. Wiley, 1986.

Saunders, Craig, Marko Grobelnik, Steve Gunn, and John Shawe-Taylor, eds. Subspace, Latent Structure and Feature Selection. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11752790.

Bolón-Canedo, Verónica, Noelia Sánchez-Maroño, and Amparo Alonso-Betanzos. Feature Selection for High-Dimensional Data. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21858-8.

Wan, Cen. Hierarchical Feature Selection for Knowledge Discovery. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97919-9.

1958-, Liu Huan, ed. Spectral feature selection for data mining. CRC Press, 2012.

Draper, Norman Richard. Model selection problems. University of Toronto, Dept. of Statistics, 1986.

Stańczyk, Urszula, and Lakhmi C. Jain, eds. Feature Selection for Data and Pattern Recognition. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45620-0.

Bolón-Canedo, Verónica, and Amparo Alonso-Betanzos. Recent Advances in Ensembles for Feature Selection. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90080-3.

Lu, Rui. Feature Selection for High Dimensional Causal Inference. [publisher not identified], 2020.

Burnham, Kenneth P., and David R. Anderson. Model Selection and Inference. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2917-7.

Liu, Huan, and Hiroshi Motoda. Feature Selection for Knowledge Discovery and Data Mining. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5689-3.

Liu, Huan. Feature Selection for Knowledge Discovery and Data Mining. Springer US, 1998.

Nilsson, Roland. Statistical feature selection: With applications in life science. Department of Physcis, Chemistry and Biology, Linko ping University, 2007.

Liu, Huan. Feature selection for knowledge discovery and data mining. Kluwer Academic, 1998.

Huan, Liu. Feature selection for knowledge discovery and data mining. Kluwer Academic Publishers, 1998.

Stańczyk, Urszula, Beata Zielosko, and Lakhmi C. Jain, eds. Advances in Feature Selection for Data and Pattern Recognition. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67588-6.

1958-, Liu Huan, and Motoda Hiroshi, eds. Feature extraction, construction and selection: A data mining perspective. Kluwer Academic, 1998.

Liu, Huan. Feature Extraction, Construction and Selection: A Data Mining Perspective. Springer US, 1998.

Picard, Jean, ed. Concentration Inequalities and Model Selection. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-48503-2.

Burnham, Kenneth P., and David R. Anderson, eds. Model Selection and Multimodel Inference. Springer New York, 2004. http://dx.doi.org/10.1007/b97636.

K, Kokula Krishna Hari, and K. Saravanan, eds. Exploratory Analysis of Feature Selection Techniques in Medical Image Processing. Association of Scientists, Developers and Faculties, 2016.

House, Christopher L. An sS model with adverse selection. National Bureau of Economic Research, 2000.

Grasa, Antonio Aznar. Econometric Model Selection: A New Approach. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-017-1358-0.

John F. Kennedy School of Government, ed. A "selection model" of political representation. John F. Kennedy School of Government, Harvard University, 2008.

Jungeilges, Jochen A. The robustness of model selection rules. Lit, 1992.

Cognitive Diagnostic Models-based Automatic Item Generation: Item Feature Exploration and Calibration Model Selection. [publisher not identified], 2019.

Hristea, Florentina T. The Naïve Bayes Model for Unsupervised Word Sense Disambiguation: Aspects Concerning Feature Selection. Springer, 2012.

Hristea, Florentina T. T. The Naïve Bayes Model for Unsupervised Word Sense Disambiguation: Aspects Concerning Feature Selection. Springer, 2012.

Kuhn, Max, and Kjell Johnson. Feature Engineering and Selection: A Practical Approach for Predictive Models. Taylor & Francis Group, 2019.

Kuhn, Max, and Kjell Johnson. Feature Engineering and Selection: A Practical Approach for Predictive Models. Taylor & Francis Group, 2019.

Kuhn, Max, and Kjell Johnson. Feature Engineering and Selection: A Practical Approach for Predictive Models. Taylor & Francis Group, 2019.

Kuhn, Max, and Kjell Johnson. Feature Engineering and Selection: A Practical Approach for Predictive Models. Taylor & Francis Group, 2019.

Feature Engineering and Selection: A Practical Approach for Predictive Models. Taylor & Francis Group, 2019.

Jensen, Richard, and Qiang Shen. Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches. Wiley & Sons, Incorporated, John, 2008.

Jensen, Richard, and Qiang Shen. Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches. Wiley & Sons, Incorporated, John, 2008.

Haque, Azimul. Feature Engineering & Selection for Explainable Models: A Second Course for Data Scientists. Lulu Press, Inc., 2022.

Kuhn, Max, and Kjell Johnson. Feature Engineering and Selection. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315108230.

Kuhn, Max, and Kjell Johnson. Feature Engineering and Selection. Taylor & Francis Group, 2021.

Wolfe, Jeremy M. Approaches to Visual Search. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.002.

Computational methods of feature selection. Chapman & Hall/CRC, 2008.

Liu, Huan, and Hiroshi Motoda. Computational Methods of Feature Selection. Taylor & Francis Group, 2007.

Liu, Huan, and Hiroshi Motoda. Computational Methods of Feature Selection. Taylor & Francis Group, 2007.

Liu, Huan, and Hiroshi Motoda. Computational Methods of Feature Selection. Taylor & Francis Group, 2007.

McCracken, Lance M., and Whitney Scott. Motivation from the Perspective of Contextual Cognitive Behavioral Approaches and the Psychological Flexibility Model. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190627898.003.0014.

Walsh, Bruce, and Michael Lynch. Analysis of Short-term Selection Experiments: 1. Least-squares Approaches. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0018.