Academic literature on the topic 'Class probability'

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Journal articles on the topic "Class probability"

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Młotkowski, Wojciech. "A class of probability measures." Journal of Computational and Applied Mathematics 133, no. 1-2 (2001): 694. http://dx.doi.org/10.1016/s0377-0427(00)00724-x.

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Lehnigk, S. H., and G. F. Roach. "On a class of probability distributions." Mathematical Methods in the Applied Sciences 9, no. 1 (1987): 210–19. http://dx.doi.org/10.1002/mma.1670090116.

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Simon, Richard. "Class probability estimation for medical studies." Biometrical Journal 56, no. 4 (2014): 597–600. http://dx.doi.org/10.1002/bimj.201300296.

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Kwok, J. T., I. W. H. Tsang, and J. M. Zurada. "A Class of Single-Class Minimax Probability Machines for Novelty Detection." IEEE Transactions on Neural Networks 18, no. 3 (2007): 778–85. http://dx.doi.org/10.1109/tnn.2007.891191.

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JIANG, LIANGXIAO, CHAOQUN LI, and ZHIHUA CAI. "DECISION TREE WITH BETTER CLASS PROBABILITY ESTIMATION." International Journal of Pattern Recognition and Artificial Intelligence 23, no. 04 (2009): 745–63. http://dx.doi.org/10.1142/s0218001409007296.

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Traditionally, the performance of a classifier is measured by its classification accuracy or error rate. In fact, probability-based classifiers also produce the class probability estimation (the probability that a test instance belongs to the predicted class). This information is often ignored in classification, as long as the class with the highest class probability estimation is identical to the actual class. In many data mining applications, however, classification accuracy and error rate are not enough. For example, in direct marketing, we often need to deploy different promotion strategie
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Woon Jeung Park and Rhee Man Kil. "Pattern Classification With Class Probability Output Network." IEEE Transactions on Neural Networks 20, no. 10 (2009): 1659–73. http://dx.doi.org/10.1109/tnn.2009.2029103.

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Khoshyaran, Mahkame. "On a Class of Universal Probability Spaces." Advances in Research 6, no. 5 (2016): 1–7. http://dx.doi.org/10.9734/air/2016/24109.

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Wallace, Byron C., and Issa J. Dahabreh. "Improving class probability estimates for imbalanced data." Knowledge and Information Systems 41, no. 1 (2013): 33–52. http://dx.doi.org/10.1007/s10115-013-0670-6.

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Shahbaz, Saman, Muhammad Qaiser Shahbaz, M. Ahsanullah, and Muhammad Mohsin. "On a new class of probability distributions." Applied Mathematics Letters 24, no. 4 (2011): 545–52. http://dx.doi.org/10.1016/j.aml.2010.11.010.

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Kalkanis, G., and G. V. Conroy. "Interval error estimators in class probability trees." Pattern Recognition Letters 17, no. 7 (1996): 705–12. http://dx.doi.org/10.1016/0167-8655(96)00035-9.

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Dissertations / Theses on the topic "Class probability"

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Silman, Timothy. "Race, class rank, and college admission probability." CONNECT TO ELECTRONIC THESIS, 2006. http://hdl.handle.net/1961/3616.

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Coyne, Michelle A. "Predicting Arrest Probability Across Time: A Test of Competing Perspectives." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439306285.

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Ding, Xiqian, and 丁茜茜. "Some new statistical methods for a class of zero-truncated discrete distributions with applications." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2015. http://hdl.handle.net/10722/211126.

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Counting data without zero category often occur in various _elds. Examples include days of hospital stay for patients, numbers of publication for tenure-tracked faculty in a university, numbers of tra_c violation for drivers during a certain period and so on. A class of zero-truncated discrete models such as zero-truncated Poisson, zero-truncated binomial and zero-truncated negative-binomial distributions are proposed in literature to model such count data. In this thesis, firstly, literature review is presented in Chapter 1 on a class of commonly used univariate zero-truncated discrete distri
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Karlsson, John. "A class of infinite dimensional stochastic processes with unbounded diffusion." Licentiate thesis, Linköpings universitet, Matematisk statistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-96583.

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The aim of this work is to provide an introduction into the theory of infinite dimensional stochastic processes. The thesis contains the paper A class of infinite dimensional stochastic processes with unbounded diffusion written at Linköping University during 2012. The aim of that paper is to take results from the finite dimensional theory into the infinite dimensional case. This is done via the means of a coordinate representation. It is shown that for a certain kind of Dirichlet form with unbounded diffusion, we have properties such as closability, quasi-regularity, and existence of local fi
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Fuller, Randetta Lynn. "A Comparative Study between the Standards of Learning and In-Class Grades." Digital Commons @ East Tennessee State University, 2010. https://dc.etsu.edu/etd/1737.

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We examined the Standards of Learning mathematics scores and in-class grades for a rural Virginia county public school system. We looked at third, fourth, fifth, sixth, and seventh grades as well as Algebra I, Algebra II, and Geometry classes. The purpose of this was to determine whether or not there is a strong correlation between the Standards of Learning and the students' in-class grades. Had a strong enough correlation between the Standards of Learning and in-class grades been found we would have used only the in-class grades to predict the Standard of Learning test scores. However, we fou
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Thaning, Max. "The Social Relativity of Higher Education : The Influence of Social Capital on the Probability of Commencing Tertiary Studies." Thesis, Stockholms universitet, Sociologiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-125338.

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The decision of whether to enter higher education or not is strongly structured by social background, i.e. parents’ social class. This paper examines if and to what extent enrolment in tertiary education also is related to social capital, and furthermore, if social capital can account for differences in social background. Two aspects of social capital are examined: extended network resources, operationalized as family acquaintances holding different occupations, and peer influences, assessed as the number of friends already engaged in higher educational studies. The sample consists of two subs
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Val, Petran. "BINOCULAR DEPTH PERCEPTION, PROBABILITY, FUZZY LOGIC, AND CONTINUOUS QUANTIFICATION OF UNIQUENESS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1504749439893027.

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Berlin, Daniel. "Multi-class Supervised Classification Techniques for High-dimensional Data: Applications to Vehicle Maintenance at Scania." Thesis, KTH, Matematisk statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209257.

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In vehicle repairs, many times locating the cause of error could turn out more time consuming than the reparation itself. Hence a systematic way to accurately predict a fault causing part would constitute a valuable tool especially for errors difficult to diagnose. This thesis explores the predictive ability of Diagnostic Trouble Codes (DTC’s), produced by the electronic system on Scania vehicles, as indicators for fault causing parts. The statistical analysis is based on about 18800 observations of vehicles where both DTC’s and replaced parts could be identified during the period march 2016 -
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Nybrant, Arvid, and Henrik Rundberg. "Predicting Uncertainty in Financial Markets : -An empirical study on ARCH-class models ability to estimate Value at Risk." Thesis, Uppsala universitet, Statistiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352381.

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Value at Risk has over the last couple of decades become one of the most widely used measures of market risk. Several methods to compute this measure have been suggested. In this paper, we evaluate the use of the GARCH(1,1)-, EGARCH(1,1)- and the APARCH(1,1) model for estimation of this measure under the assumption that the conditional error distribution is normally-, t-, skewed t- and NIG-distributed respectively. For each model, the 95% and 99% one-day Value at Risk is computed using rolling out-of-sample forecasts for three equity indices. These forecasts are evaluated with Kupiec´s test fo
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Raharjo, Tatok Raharjo. "The Effects of Age and Gender on Pedestrian Traffic Injuries: A Random Parameters and Latent Class Analysis." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6360.

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Pedestrians are vulnerable road users because they do not have any protection while they walk. They are unlike cyclists and motorcyclists who often have at least helmet protection and sometimes additional body protection (in the case of motorcyclists with body-armored jackets and pants). In the US, pedestrian fatalities are increasing and becoming an ever larger proportion of overall roadway fatalities (NHTSA, 2016), thus underscoring the need to study factors that influence pedestrian-injury severity and potentially develop appropriate countermeasures. One of the critical elements in the stud
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Books on the topic "Class probability"

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The search for certainty: On the clash of science and philosophy of probability. World Scientific, 2009.

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Christian, Brucker, Monka Yvan, and Sigward Éric, eds. Mathématiques 2de: Édition 2014. Hatier, 2014.

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Gale, Thomson. Bliss Bibliographic Classification: Class AM/AX: Mathematics, Statistics and Probability. K.G. Saur (An Impint of Walter de Gruyter), 1995.

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Bowker-Saur. Class Am/Ax Mathematics, Statistics and Probability (Bliss Bibliographic Classification). 2nd ed. Bowker-Saur, 1993.

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Leitgeb, Hannes. Probability in Logic. Edited by Alan Hájek and Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.35.

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This chapter is about probabilistic logics: that is, systems of logic in which logical consequence is defined in probabilistic terms. The chapter starts with some historical background, covering the longstanding association of the study of logic with probability. There follows a clarification of the terms to be used. Then these systems of probabilistic logic are classified and some key references given. Two chief classifications are presented. Then one class of probabilistic logics, those that derive from Ernest Adams’ work, is presented in more detail. In reviewing Adams’ work, six types of s
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Williams, J. Robert G. Probability and Nonclassical Logic. Edited by Alan Hájek and Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.12.

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This chapter presents axioms for comparative conditional probability relations. The axioms presented here are more general than usual. Each comparative relation is a weak partial order on pairs of sentences but need not be a complete order relation. The axioms for these comparative relations are probabilistically sound for the broad class of conditional probability functions known as Popper functions. Furthermore, these axioms are probabilistically complete. Arguably, the notion of comparative conditional probability provides a foundation for Bayesian confirmation theory. Bayesian confirmation
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Gelman, Andrew, and Deborah Nolan. Problems and projects in probability. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785699.003.0019.

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When probability is taught as a separate unit, not as part of a statistics course, then it makes sense to include exercises and examples that are motivated from mathematics rather than from applications. This chapter illustrates one way to promote active student involvement in a more advanced class. The material is designed to accommodate various mathematical backgrounds and to challenge all students. There are essentially three basic aspects to our mathematical probability courses: we teach in an interactive seminar style; we give students many challenging problems; and we require students to
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Borodin, Alexei, and Leonid Petrov. Integrable probability: stochastic vertex models and symmetric functions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797319.003.0002.

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This chapter presents the study of a homogeneous stochastic higher spin six-vertex model in a quadrant. For this model concise integral representations for multipoint q-moments of the height function and for the q-correlation functions are derived. At least in the case of the step initial condition, these formulas degenerate in appropriate limits to many known formulas of such type for integrable probabilistic systems in the (1+1)d KPZ universality class, including the stochastic six-vertex model, ASEP, various q-TASEPs, and associated zero-range processes. The arguments are largely based on p
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Dietrich, Franz, and Christian List. Probabilistic Opinion Pooling. Edited by Alan Hájek and Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.37.

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Suppose several individuals (e.g., experts on a panel) each assign probabilities to some events. How can these individual probability assignments be aggregated into a single collective probability assignment? This chapter is a review of several proposed solutions to this problem, focusing on three salient proposals: linear pooling (the weighted or unweighted linear averaging of probabilities), geometric pooling (the weighted or unweighted geometric averaging of probabilities), and multiplicative pooling (where probabilities are multiplied rather than averaged). Axiomatic characterizations of e
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Kravtsov, Vladimir. Heavy-tailed random matrices. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.13.

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This article considers non-Gaussian random matrices consisting of random variables with heavy-tailed probability distributions. In probability theory heavy tails of distributions describe rare but violent events which usually have a dominant influence on the statistics. Furthermore, they completely change the universal properties of eigenvalues and eigenvectors of random matrices. This article focuses on the universal macroscopic properties of Wigner matrices belonging to the Lévy basin of attraction, matrices representing stable free random variables, and a class of heavy-tailed matrices obta
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Book chapters on the topic "Class probability"

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Frank, Eibe, and Mark Hall. "Visualizing Class Probability Estimators." In Knowledge Discovery in Databases: PKDD 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39804-2_17.

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Collevecchio, Andrea, and Robert C. Griffiths. "A Class of Random Walks on the Hypercube." In Progress in Probability. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60754-8_13.

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AL-Hussaini, Essam K., and Mohammad Ahsanullah. "Class of Exponentiated Distributions Introduction." In Atlantis Studies in Probability and Statistics. Atlantis Press, 2015. http://dx.doi.org/10.2991/978-94-6239-079-9_1.

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Frank, Eibe, and Remco R. Bouckaert. "Conditional Density Estimation with Class Probability Estimators." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05224-8_7.

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Marcus, Michael B., and Jay Rosen. "Continuity Conditions for a Class of Second-order Permanental Chaoses." In High Dimensional Probability VI. Springer Basel, 2013. http://dx.doi.org/10.1007/978-3-0348-0490-5_15.

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Parthasarathy, K. R., and Kalyan B. Sinha. "Representation of a class of quantum martingales II." In Quantum Probability and Applications III. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/bfb0078066.

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Darling, R. W. R., and Arunava Mukherjea. "Discrete Time Voter Models: A Class of Stochastic Automata." In Probability Measures on Groups X. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2364-6_6.

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Szeidl, L., and V. M. Zolotarev. "Analytical Representation of Limit Distributions for a Class of Random Symmetric Polynomials." In Probability Theory and Applications. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2817-9_12.

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Guerra, Francesco. "Carlen processes: A new class of diffusions with singular drifts." In Quantum Probability and Applications II. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/bfb0074478.

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Wang, Hongqiao, Yanning Cai, Shicheng Wang, Guangyuan Fu, and Linlin Li. "Classification Probability Estimation Based Multi-Class Image Retrieval." In Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37832-4_36.

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Conference papers on the topic "Class probability"

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Młotkowski, Wojciech. "Some class of polynomial hypergroups." In Quantum Probability. Institute of Mathematics Polish Academy of Sciences, 2006. http://dx.doi.org/10.4064/bc73-0-28.

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Dang, Tat-Dat, and Ha-Nam Nguyen. "Multi-class Minimax Probability Machine." In 2009 International Conference on Knowledge and Systems Engineering (KSE). IEEE, 2009. http://dx.doi.org/10.1109/kse.2009.46.

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Wang, X. H., S. Albeverio, L. Cattaneo, and S. M. Fei. "Local Equivalence for a Class of Bipartite Quantum Mixed States." In FOUNDATIONS OF PROBABILITY AND PHYSICS - 4. AIP, 2007. http://dx.doi.org/10.1063/1.2713470.

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Meng, Zhang, Bai Yu, Zhang Yan, and Wang Xiaojing. "Promoting Effects of Network Class in Probability." In 2010 2nd International Conference on Information Technology and Computer Science (ITCS 2010). IEEE, 2010. http://dx.doi.org/10.1109/itcs.2010.142.

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O'Brien, J. "Correlated probability fusion for multiple class discrimination." In 1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251). IEEE, 1999. http://dx.doi.org/10.1109/idc.1999.754218.

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O'Brien, Deirdre B., Maya R. Gupta, and Robert M. Gray. "Cost-sensitive multi-class classification from probability estimates." In the 25th international conference. ACM Press, 2008. http://dx.doi.org/10.1145/1390156.1390246.

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Clark, Stephen, and David Weir. "Class-based probability estimation using a semantic hierarchy." In Second meeting of the North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, 2001. http://dx.doi.org/10.3115/1073336.1073349.

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Wang, Xiaoh. "Posterior Probability Reconstruction for Multi-Class Support Vector Machines." In 2008 International Conference on Computational Intelligence and Security (CIS). IEEE, 2008. http://dx.doi.org/10.1109/cis.2008.10.

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Ping He, Guofeng Pan, Yatong Zhou, and Hongdong Zhao. "Facial expression recognition using multi-class minimax probability machine." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4592839.

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Charalambous, Charalambos D., and Ioanna Ioannou. "Minimizing outage probability for a class of MIMO channels." In 2009 11th Canadian Workshop on Information Theory (CWIT). IEEE, 2009. http://dx.doi.org/10.1109/cwit.2009.5069520.

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Reports on the topic "Class probability"

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Lehnigk, S. H., and H. P. Dudel. Diagnostic Parameter Determination for a Class of Three-Parameter Probability Distributions. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada203706.

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