Relevant bibliographies by topics / Model based classification

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Model based classification'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Model based classification"

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Gouiouez, Mounir. "Probabilistic Graphical Model based on BablNet for Arabic Text Classification." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 1241–50. http://dx.doi.org/10.5373/jardcs/v12sp7/20202224.

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Younghwan Kim, Younghwan Kim, and Huy Kang Kim Younghwan Kim. "Cluster-based Deep One-Class Classification Model for Anomaly Detection." 網際網路技術學刊 22, no. 4 (2021): 903–11. http://dx.doi.org/10.53106/160792642021072204017.

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Geman, D., and B. Jedynak. "Model-based classification trees." IEEE Transactions on Information Theory 47, no. 3 (2001): 1075–82. http://dx.doi.org/10.1109/18.915664.

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Tran, Chi-Kien. "Face Recognition Based on similarity Feature-Based Selection and Classification Algorithms and Wrapper Model." International Journal of Machine Learning and Computing 9, no. 3 (2019): 357–62. http://dx.doi.org/10.18178/ijmlc.2019.9.3.810.

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Zong, Xinlu, Chunzhi Wang, and Hui Xu. "Density-based Adaptive Wavelet Kernel SVM Model for P2P Traffic Classification." International Journal of Future Generation Communication and Networking 6, no. 6 (2013): 25–36. http://dx.doi.org/10.14257/ijfgcn.2013.6.6.04.

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Casselgren, Johan, Mikael Sjödahl, and James P. LeBlanc. "Model-based winter road classification." International Journal of Vehicle Systems Modelling and Testing 7, no. 3 (2012): 268. http://dx.doi.org/10.1504/ijvsmt.2012.048941.

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Wasi, Shaukat, Syed Imran Jami, and Zubair Ahmed Shaikh. "Context-based email classification model." Expert Systems 33, no. 2 (2015): 129–44. http://dx.doi.org/10.1111/exsy.12136.

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Rice, Feng, Tristrom Cooke, and Danny Gibbins. "Model based ISAR ship classification." Digital Signal Processing 16, no. 5 (2006): 628–37. http://dx.doi.org/10.1016/j.dsp.2006.01.007.

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Maier, U., and A. Löffler. "Course Development Based on a Model for the Classification of Learning Progress." International Journal of Social Science and Humanity 5, no. 9 (2015): 735–42. http://dx.doi.org/10.7763/ijssh.2015.v5.549.

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McNicholas, Paul D. "Model-based classification using latent Gaussian mixture models." Journal of Statistical Planning and Inference 140, no. 5 (2010): 1175–81. http://dx.doi.org/10.1016/j.jspi.2009.11.006.

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Dissertations / Theses on the topic "Model based classification"

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Hallberg, Robert. "Target Classification Based on Kinematics." Thesis, Linköpings universitet, Reglerteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-81216.

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Modern aircraft are getting more and better sensors. As a result of this, the pilots are getting moreinformation than they can handle. To solve this problem one can automate the information processingand instead provide the pilots with conclusions drawn from the sensor information. An aircraft’smovement can be used to determine which class (e.g. commercial aircraft, large military aircraftor fighter) it belongs to. This thesis focuses on comparing three classification schemes; a Bayesianclassification scheme with uniform priors, Transferable Belief Model and a Bayesian classificationscheme wit
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Wurzbacher, Tobias. "Vocal fold dynamics : quantification and model-based classification /." Aachen : Shaker Verlag, 2008. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016315367&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Böckert, Andreas. "Vehicle detection and classification in video sequences." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1244.

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<p>The purpose of this thesis is to investigate the applicability of a certain model based classification algorithm. The algorithm is centered around a flexible wireframe prototype that can instantiate a number of different vehicle classes such as a hatchback, pickup or a bus to mention a few. The parameters of the model are fitted using Newton minimization of errors between model line segments and observed line segments. Furthermore a number of methods for object detection based on motion are described and evaluated. Results from both experimental and real world data is presented.</p>
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Melli, Gabor Settimio. "A lazy model-based approach to on-line classification." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ37590.pdf.

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LIU, HUI. "Classification and prediction for flying objects based on behavior model." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-22207.

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This master thesis relates to machine vision system and object classification. The aim of this paper is to classify the flying objects in images in a computer vision system, for example, an eagle, kite or airplane. In this thesis, large amounts of data will be analyzed and a behavior model will be built for each object as important steps towards improving and automating the object classification system. The application of this thesis is to reduce the deaths of golden and bald eagles due to wind blades. In this thesis work, a new effective method is presented, namely, a stereo vision system, wh
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Stanczyk, Piotr. "Texture classification of steel images based on a multifractal model." Thesis, University of the West of England, Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392809.

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Wurzbacher, Tobias [Verfasser]. "Vocal Fold Dynamics – Quantification and Model-based Classification / Tobias Wurzbacher." Aachen : Shaker, 2008. http://d-nb.info/1164341227/34.

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Benn, David E. "Model-based feature extraction and classification for automatic face recognition." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324811.

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Frisk, Christoffer. "Automated protein-family classification based on hidden Markov models." Thesis, Uppsala universitet, Bioinformatik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-252372.

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The aim of the project presented in this paper was to investigate the possibility toautomatically sub-classify the superfamily of Short-chain Dehydrogenase/Reductases (SDR).This was done based on an algorithm previously designed to sub-classify the superfamily ofMedium-chain Dehydrogenase/Reductases (MDR). While the SDR-family is interesting andimportant to sub-classify there was also a focus on making the process as automatic aspossible so that future families also can be classified using the same methods.To validate the results generated it was compared to previous sub-classifications done o
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Ma, Li. "Web error classification and usage based model for Web reliability improvement." Ann Arbor, Mich. : ProQuest, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3258042.

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Thesis (Ph.D. in Computer Science)--S.M.U., 2007.<br>Title from PDF title page (viewed Mar. 18, 2008). Source: Dissertation Abstracts International, Volume: 68-03, Section: B, page: 1731. Adviser: Jeff Tian. Includes bibliographical references.
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Books on the topic "Model based classification"

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McNicholas, Paul D. Mixture Model-Based Classification. Chapman and Hall/CRC, 2016. http://dx.doi.org/10.1201/9781315373577.

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Parsons, Byron Jeffrey. A classification theory-based information systems model. National Library of Canada = Bibliothèque nationale du Canada, 1992.

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Forcier, Michael W. Testing the implementation of a point-based classification system: A comparison of DOC initial classifications with the NIC model systems approach. Massachusetts Dept. of Correction, 1989.

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Vasil'eva, Natal'ya. Mathematical models in the management of copper production: ideas, methods, examples. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014071.

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Presents the current status in modelling of metallurgical processes considered by the model the mathematical model used in the description of the processes of copper production and their classification. Set out a system of methods and models in the field of mathematical modeling of technological processes, including balance sheet, statistics, optimization models, forecasting models and predictive models. For specific technological processes are developed: the model of the balance of the cycle of pyrometallurgical production of copper, polynomial model for prediction of matte composition on the
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Mackay, David Scott. Knowledge based classification of higher order terrain objects on digital elevation models. National Library of Canada = Bibliothèque nationale du Canada, 1991.

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Len'kov, Roman. Social forecasting and planning. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1058988.

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The tutorial describes the preconditions of sociopragmatics research in Russia on the background of evolutionary processes of social prognostics of the twentieth century. Considered the essential characteristics of social forecasting, its subject and range of issues. Based on analysis of classification schemes methods of scientific forecasting offers the author's approach to classification of methods of social forecasting. Special attention is paid to the description of the characteristics, the specific application and selection procedure of the ways of making social predictions.&#x0D; Theoret
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Naumov, Vladimir. Consumer behavior. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014653.

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The book describes the basic issues concerning consumer behavior on the basis of the simulation of the decision-making process on buying behavior of customers in the sales area of the store and shopping Internet sites. &#x0D; The classification of models of consumer behavior, based on research in the area of economic, social and psychological theories and empirical evidence regarding decision-making by consumers when purchasing the goods, including online stores. Methods of qualitative and quantitative research of consumer behavior, fundamentals of statistical processing of empirical data. &#x
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Cevelev, Aleksandr. Material management of railway transport. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1064961.

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In the monograph reviewed the development of the inventory management of railway transport in the new economic environment of market economy. &#x0D; According to the results of theoretical research, innovative and production potential of the supply system of railway transport the main directions and methods of transformation of the restructuring process under the corporate changes of JSC "RZD", positioned value system of the logistics of railway transportation, and developed a classification model used logistical resources. &#x0D; Evaluation of activity of structural divisions of Russian Railw
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Serebryakov, Andrey, and Gennadiy Zhuravlev. Exploitation of oil and gas fields by horizontal wells. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/971768.

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The textbook describes the design features of offshore horizontal multi-hole production wells, as well as the bottom-hole components of horizontal multi-hole wells. The classification of complications of multi-hole horizontal wells, methods of their prevention and elimination are given. Methods of underground geonavigation of the development of offshore horizontal production wells are proposed. The geological and field bases of operation of horizontal offshore multi-hole oil and gas wells, modes and dynamics of oil, gas and associated water production, methods for calculating dynamic bottom-ho
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Raftery, Adrian E., Gilles Celeux, Charles Bouveyron, and T. Brendan Murphy. Model-Based Clustering and Classification for Data Science: With Applications in R. Cambridge University Press, 2019.

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Book chapters on the topic "Model based classification"

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Scrucca, Luca. "Visualization of Model-Based Clustering Structures." In Data Analysis and Classification. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03739-9_8.

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Kotsifakos, Alexios, and Panagiotis Papapetrou. "Model-Based Time Series Classification." In Advances in Intelligent Data Analysis XIII. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12571-8_16.

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Buchin, Maike, and Stef Sijben. "Model-Based Classification of Trajectories." In Algorithms and Computation. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48971-0_34.

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Van Leemput, Koen, Dirk Vandermeulen, Frederik Maes, Siddharth Srivastava, Emiliano D’Agostino, and Paul Suetens. "Model-Based Brain Tissue Classification." In Handbook of Biomedical Image Analysis. Springer US, 2005. http://dx.doi.org/10.1007/0-306-48606-7_1.

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Mishchenko, Ales, and Natalia Vassilieva. "Model-Based Chart Image Classification." In Advances in Visual Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24031-7_48.

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Nizamani, Sarwat, Nasrullah Memon, and Uffe Kock Wiil. "Cluster Based Text Classification Model." In Lecture Notes in Social Networks. Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0388-3_14.

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de Carvalho, Paulo, Jorge Henriques, Ricardo Couceiro, Matthew Harris, Manuel Antunes, and Joerg Habetha. "Model-Based Atrial Fibrillation Detection." In ECG Signal Processing, Classification and Interpretation. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-868-3_5.

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Asma, Djellal, and Boufaida Zizette. "Individual Relocation: A Fuzzy Classification Based Approach." In Model and Data Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45547-1_17.

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Mungra, Dhara, Anjali Agrawal, and Ankit Thakkar. "A Voting-Based Sentiment Classification Model." In Advances in Intelligent Systems and Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8618-3_57.

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Guo, Gongde, Hui Wang, David Bell, Yaxin Bi, and Kieran Greer. "KNN Model-Based Approach in Classification." In On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39964-3_62.

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Conference papers on the topic "Model based classification"

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Newman, Timothy S., Patrick J. Flynn, and Anil K. Jain. "Model-based surface classification." In San Diego, '91, San Diego, CA, edited by Baba C. Vemuri. SPIE, 1991. http://dx.doi.org/10.1117/12.48429.

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Jankowski, J., and M. Bogdaniuk. "Risk Model Used To Develop Goal-Based Standards For Ship Structures Of Single Side Bulk Carrier." In Developments in Classification & International Regulation 2007. RINA, 2007. http://dx.doi.org/10.3940/rina.dcir.2007.09.

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Sonneland, L., P. Tennebo, T. Gehrmann, and O. Yrke. "3D Model-based Bayesian classification." In 56th EAEG Meeting. European Association of Geoscientists & Engineers, 1994. http://dx.doi.org/10.3997/2214-4609.201410086.

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Salama, M. A., A. E. Hassanien, and A. A. Fahmy. "Pattern-based subspace classification model." In 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC 2010). IEEE, 2010. http://dx.doi.org/10.1109/nabic.2010.5716318.

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Li, Zhenzhong, Wenqian Shang, and Menghan Yan. "News text classification model based on topic model." In 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS). IEEE, 2016. http://dx.doi.org/10.1109/icis.2016.7550929.

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Barr Kumarakulasinghe, Nesaretnam, Tobias Blomberg, Jintai Liu, Alexandra Saraiva Leao, and Panagiotis Papapetrou. "Evaluating Local Interpretable Model-Agnostic Explanations on Clinical Machine Learning Classification Models." In 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2020. http://dx.doi.org/10.1109/cbms49503.2020.00009.

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Yao, Tengjun, Zhengang Zhai, and Bingtao Gao. "Text Classification Model Based on fastText." In 2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS). IEEE, 2020. http://dx.doi.org/10.1109/icaiis49377.2020.9194939.

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Padmanabhan, Divya, Satyanath Bhat, Shirish Shevade, and Y. Narahari. "Topic Model Based Multi-Label Classification." In 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2016. http://dx.doi.org/10.1109/ictai.2016.0154.

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Kastrati, Zenun, and Sule Yildirim Yayilgan. "Supervised Ontology-Based Document Classification Model." In the International Conference. ACM Press, 2017. http://dx.doi.org/10.1145/3093241.3107883.

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Harczos, Tamas, Gero Szepannek, Andras Katai, and Frank Klefenz. "An auditory model based vowel classification." In 2006 IEEE Biomedical Circuits and Systems Conference - Healthcare Technology (BioCas). IEEE, 2006. http://dx.doi.org/10.1109/biocas.2006.4600310.

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Reports on the topic "Model based classification"

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Asher, Sam, Denis Nekipelov, Paul Novosad, and Stephen Ryan. Classification Trees for Heterogeneous Moment-Based Models. National Bureau of Economic Research, 2016. http://dx.doi.org/10.3386/w22976.

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Berney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman, and John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40401.

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The ability to remotely assess road and airfield pavement condition is critical to dynamic basing, contingency deployment, convoy entry and sustainment, and post-attack reconnaissance. Current Army processes to evaluate surface condition are time-consuming and require Soldier presence. Recent developments in the area of photogrammetry and light detection and ranging (LiDAR) enable rapid generation of three-dimensional point cloud models of the pavement surface. Point clouds were generated from data collected on a series of asphalt, concrete, and unsurfaced pavements using ground- and aerial-ba
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Arbeit, Caren A., Alexander Bentz, Emily Forrest Cataldi, and Herschel Sanders. Alternative and Independent: The universe of technology-related “bootcamps". RTI Press, 2019. http://dx.doi.org/10.3768/rtipress.2019.rr.0033.1902.

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In recent years, nontraditional workforce training programs have proliferated inside and outside of traditional postsecondary institutions. A subset of these programs, bootcamps, advertise high job placement rates and have been hailed by policymakers as key to training skilled workers. However, few formal data exist on the number, types, prices, location, or other descriptive details of program offerings. We fill this void by studying the universe of bootcamp programs offered as of June 30, 2017. In this report, we discuss the attributes of the 1,010 technology-related programs offered in the
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