Libri sul tema "Decision tree"

Gladwin, Christina. Ethnographic decision tree modeling. Newbury Park: Sage, 1989.

Gladwin, Christina H. Ethnographic decision tree modeling. Newbury Park: Sage, 1989.

Euler, Bryan L. EDDT: Emotional Disturbance Decision Tree. Lutz, FL: Psychological Assessment Resources, 2007.

Ken, Friedman. The decision tree: A novel. Rainier, Wash: Heart Pub., 1996.

Grąbczewski, Krzysztof. Meta-Learning in Decision Tree Induction. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00960-5.

Association, American Bankers. Analyzing financial statements: A decision tree approach. Washington, D.C: American Bankers Association, 2013.

Barros, Rodrigo C., André C. P. L. F. de Carvalho e Alex A. Freitas. Automatic Design of Decision-Tree Induction Algorithms. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14231-9.

David, Landgrebe, e United States. National Aeronautics and Space Administration., a cura di. A survey of decision tree classifier methodology. West Lafayatte, Ind: School of Electrical Engineering, Purdue University, 1990.

Medical conditions and massage therapy: A decision tree approach. Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins Health, 2010.

National Flood Proofing Committee (U.S.), a cura di. Flood proofing: How to evaluate your options : decision tree. [Fort Belvoir, Va.?]: US Army Corps of Engineers, National Flood Proofing Committee, 1995.

National Flood Proofing Committee (U.S.), a cura di. Flood proofing: How to evaluate your options : decision tree. [Fort Belvoir, Va.?]: US Army Corps of Engineers, National Flood Proofing Committee, 1995.

National Flood Proofing Committee (U.S.), a cura di. Flood proofing: How to evaluate your options : decision tree. [Fort Belvoir, Va.?]: US Army Corps of Engineers, National Flood Proofing Committee, 1995.

Kozak, Jan. Decision Tree and Ensemble Learning Based on Ant Colony Optimization. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-93752-6.

Improved Decision-making in Data Mining: A Heuristic Rule Induction Approach to Decision Tree Creation and Model Selection. Saarbrücken: VDM Verlag Dr. Müller, 2008.

Levine, Phillip B. The impact of social policy and economic activity throughout the fertility decision tree. Cambridge, MA: National Bureau of Economic Research, 2002.

Ellrod, Gary P. A decision tree approach to clear air turbulence analysis using satellite and upper air data. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1989.

Goetz, Thomas. The decision tree: How to make better choices and take control of your health. New York, NY: Rodale, 2011.

Ray, Patrick A. Confronting climate uncertainty in water resources planning and project design: The decision tree framework. Washington, DC: World Bank Group, 2015.

Yanuariadi, Tetra. Sustainable land allocation: GIS-based decision support for industrial forest plantation development in Indonesia. Enschede, The Netherlands: ITC, 1999.

The decision tree: Taking control of your health in the new era of personalized medicine. Emmaus, Pa: Rodale, 2010.

Magyary, Diane Louise. Children with ADHD: A manual with decision tree and clinical path, for health care professionals. Seattle, Wash: School of Nursing, University of Washington, 1999.

Burley, Jon Bryan. Decision tree analysis for selecting post-mining land uses at the Spillum sand and gravel operation. Lexington, KY: Office of Engineering Services, College of Engineering, University of Kentucky, 1988.

Nelson, William R. Response tree evaluation: Experimental assessment of an expert system for nuclear reactor operators. [Idaho Falls, Idaho]: EG&G Idaho, 1985.

Reed, W. J. Planting decisions in the face of uncertainty. Vancouver, B.C: Forest Economics and Policy Analysis Research Unit, University of British Columbia, 1991.

Alsolami, Fawaz, Mohammad Azad, Igor Chikalov e Mikhail Moshkov. Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-12854-8.

Kustra, Rafal. Soft decision trees. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1999.

McNellis, Ryan Thomas. Training Decision Trees for Optimal Decision-Making. [New York, N.Y.?]: [publisher not identified], 2020.

Azad, Mohammad, Igor Chikalov, Shahid Hussain, Mikhail Moshkov e Beata Zielosko. Decision Trees with Hypotheses. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08585-7.

Authority, Financial Services. Stakeholder pensions decision trees. London: Financial Services Authority, 2000.

Paarsch, Harry J. Deciding between the common and private value paradigms in empirical models of auctions. Vancouver: Forest Economics and Policy Analysis Research Unit, University of British Columbia, 1989.

Authority, Financial Services. Stakeholder Pensions and Decision Trees. London: Financial Services Authority, 2000.

Authority, Financial Services, a cura di. Stakeholder pensions and decision trees. London: Financial Services Authority, 2000.

Authority, Financial Services, a cura di. Stakeholder pensions and decision trees. London: Financial Services Authority, 2002.

Authority, Financial Services, a cura di. Stakeholder pensions and decision trees. London: Financial Services Authority, 2000.

service), SpringerLink (Online, a cura di. Average Time Complexity of Decision Trees. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

Chikalov, Igor. Average Time Complexity of Decision Trees. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22661-8.

Dahan, Haim, Shahar Cohen, Lior Rokach e Oded Maimon. Proactive Data Mining with Decision Trees. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0539-3.

1934-, Helveston Eugene M., a cura di. Strabismus: A decision making approach. St. Louis: Mosby, 1994.

Lin, Kevin. Decision Trees for Text Classification in CS2. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3519938.

L, Bready Lois, e Smith R. Brian, a cura di. Decision making in anesthesiology. 2^a ed. St. Louis: Decker, 1992.

Junhai, Zhai, a cura di. Ji yu bu que ding xing de jue ce shu gui na. Beijing: Ke xue chu ban she, 2012.

Cole, Forrest. Scratchings record of decision. Ketchikan, AK: U.S. Dept. of Agriculture, Forest Service, Alaska Region, Tongass National Forest, 2007.

Kretowski, Marek. Evolutionary Decision Trees in Large-Scale Data Mining. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21851-5.

Moshkov, Mikhail. Comparative Analysis of Deterministic and Nondeterministic Decision Trees. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41728-4.

Z, Maimon Oded, a cura di. Data mining with decision trees: Theroy and applications. Singapore: World Scientific, 2008.

Kalles, D. Decision trees and domain knowledge in pattern recognition. Manchester: UMIST, 1994.

Metalearning In Decision Tree Induction. Springer International Publishing AG, 2013.

Decision Tree Modeling Course Notes. Sas Inst, 2002.

Christensen, Kim, Dr Randall Kinnison, Randall Kinnison e Mark Duhrkoop. The Decision Tree of Aging. Genesis Publishing, 2019.

Randall, William D. Software reusability: A decision tree model. 1988.