Libri sul tema "Feature selection"

Liu, Huan, e Hiroshi Motoda, a cura di. Feature Extraction, Construction and Selection. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5725-8.

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

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

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

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

1958-, Liu Huan, a cura di. Spectral feature selection for data mining. Boca Raton, FL: CRC Press, 2012.

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

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

Lu, Rui. Feature Selection for High Dimensional Causal Inference. [New York, N.Y.?]: [publisher not identified], 2020.

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

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

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

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

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

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

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

1958-, Liu Huan, e Motoda Hiroshi, a cura di. Feature extraction, construction and selection: A data mining perspective. Boston: Kluwer Academic, 1998.

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

K, Kokula Krishna Hari, e K. Saravanan, a cura di. Exploratory Analysis of Feature Selection Techniques in Medical Image Processing. Tiruppur, Tamil Nadu, India: Association of Scientists, Developers and Faculties, 2016.

Abualigah, Laith Mohammad Qasim. Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10674-4.

Hinders, Mark K. Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49395-0.

Okun, Oleg. Feature selection and ensemble methods for bioinformatics: Algorithmic classification and implementations. Hershey PA: Medical Information Science Reference, 2011.

Raza, Muhammad Summair, e Usman Qamar. Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4965-1.

Raza, Muhammad Summair, e Usman Qamar. Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9166-9.

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

Geological Survey (U.S.) e Geological Survey (U.S.)., a cura di. Production of a national 1:1,000,000-scale hydrography dataset for the United States: Feature selection, simplification, and refinement. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 2009.

SLSFS 2005 (2005 Bohinj, Slovenia). Subspace, latent structure and feature selection: Statistical and Optimization Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, February 23-25, 2005 : revised selected papers. Berlin: Springer, 2006.

Haldenby, Michael R. D. An investigation of the characterisations of schools and schooling in a selection of feature films made in Britain and the United States of America since 1939. [Coventry]: typescript, 1988.

Bondarenko, Natal'ya. Pattern recognition. The initial course of theory. ru: INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2111834.

B, Holt Rodger, Rogers V. C. 1941- e National Risk Management Research Laboratory (U.S.), a cura di. Residential Radon Resistant Construction Features Selection System: Final Report. Washington, DC: U.S. Environmental Protection Agency, Office of Research and Development, 1996.

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

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

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

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

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

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

Liu, Huan, e Zheng Alan Zhao. Spectral Feature Selection for Data Mining. Taylor & Francis Group, 2011.

Liu, Huan, e Zheng Alan Zhao. Spectral Feature Selection for Data Mining. Taylor & Francis Group, 2011.

Liu, Huan, e Zheng Alan Zhao. Spectral Feature Selection for Data Mining. Taylor & Francis Group, 2011.

Alonso-Betanzos, Amparo, Noelia Sánchez-Maroño e Verónica Bolón-Canedo. Feature Selection for High-Dimensional Data. Springer, 2015.

Zhao, Zheng. Spectral Feature Selection for Data Mining. Taylor & Francis Group, 2012.

Alonso-Betanzos, Amparo, Noelia Sánchez-Maroño e Verónica Bolón-Canedo. Feature Selection for High-Dimensional Data. Springer, 2016.

Liu, Huan, e Zheng Alan Zhao. Spectral Feature Selection for Data Mining. Taylor & Francis Group, 2011.

Liu, Huan, e Zheng Alan Zhao. Spectral Feature Selection for Data Mining. Taylor & Francis Group, 2018.

Alonso-Betanzos, Amparo, Noelia Sánchez-Maroño e Verónica Bolón-Canedo. Feature Selection for High-Dimensional Data. Springer, 2015.

Spectral Feature Selection for Data Mining. Chapman and Hall/CRC, 2011.

Feature Selection in Machine Learning with Python. Lulu Press, Inc., 2022.

Feature Selection for Predicting Pilot Mental Workload. Storming Media, 2000.

Stańczyk, Urszula, e Lakhmi C. Jain. Feature Selection for Data and Pattern Recognition. Springer Berlin / Heidelberg, 2016.

Alonso-Betanzos, Amparo, e Verónica Bolón-Canedo. Recent Advances in Ensembles for Feature Selection. Springer International Publishing AG, 2019.