Relevant bibliographies by topics / Probabilistic relationships

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Probabilistic relationships'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Probabilistic relationships"

1

Aly, Robin, Thomas Demeester, and Stephen Robertson. "Probabilistic models in IR and their relationships." Information Retrieval 17, no. 2 (2013): 177–201. http://dx.doi.org/10.1007/s10791-013-9226-3.

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KRAUSE, PAUL J. "Learning probabilistic networks." Knowledge Engineering Review 13, no. 4 (1999): 321–51. http://dx.doi.org/10.1017/s0269888998004019.

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A probabilistic network is a graphical model that encodes probabilistic relationships between variables of interest. Such a model records qualitative influences between variables in addition to the numerical parameters of the probability distribution. As such it provides an ideal form for combining prior knowledge, which might be limited solely to experience of the influences between some of the variables of interest, and data. In this paper, we first show how data can be used to revise initial estimates of the parameters of a model. We then progress to showing how the structure of the model c
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Baskara Nugraha, I. Gusti Bagus, Imaniar Ramadhani, and Jaka Sembiring. "Probabilistic Inference Hybrid IT Value Model Using Bayesian Network." International Journal on Electrical Engineering and Informatics 12, no. 4 (2020): 770–85. http://dx.doi.org/10.15676/ijeei.2020.12.4.5.

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In this study, we propose probabilistic inference model on a hybrid IT value model using Bayesian Network (BN) that represents uncertain relationships between 13 variables of the model. Those variables are performance, market, innovation, IT support, core competence, capabilities, knowledge, human resources, IT development, IT resources, capital, labor, and IT spending. The relationships between variables in the model are determined using probabilistic approach, including the structure, nature, and direction of relationships. We derive a probabilistic graphical model and measure the relationsh
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Boyce, L., and C. C. Chamis. "Probabilistic constitutive relationships for cyclic material strength models." Journal of Propulsion and Power 8, no. 1 (1992): 227–32. http://dx.doi.org/10.2514/3.23464.

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Kim, Won Yong, Myoung Ho Kim, and Yoon Joon Lee. "Probabilistic retrieval incorporating the relationships of descriptors incrementally." Information Processing & Management 34, no. 4 (1998): 417–30. http://dx.doi.org/10.1016/s0306-4573(98)00009-0.

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Liu, Ting, Youmin Tang, Dejian Yang, et al. "The relationship among probabilistic, deterministic and potential skills in predicting the ENSO for the past 161 years." Climate Dynamics 53, no. 11 (2019): 6947–60. http://dx.doi.org/10.1007/s00382-019-04967-y.

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Abstract Here, we explored in depth the relationship among the deterministic prediction skill, the probabilistic prediction skill and the potential predictability. This was achieved by theoretical analyses and, in particular, by an analysis of long-term ensemble ENSO hindcast over 161 years from 1856 to 2016. First, a nonlinear monotonic relationship between the deterministic prediction skill and the probabilistic prediction skill, derived by theoretical analysis, was examined and validated using the ensemble hindcast. Further, the co-variability between the potential predictability and the de
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Wong, S. K. M., and Y. Y. Yao. "A probabilistic method for computing term-by-term relationships." Journal of the American Society for Information Science 44, no. 8 (1993): 431–39. http://dx.doi.org/10.1002/(sici)1097-4571(199309)44:8<431::aid-asi1>3.0.co;2-v.

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O'Reilly, Gerard J., and Ricardo Monteiro. "Probabilistic models for structures with bilinear demand-intensity relationships." Earthquake Engineering & Structural Dynamics 48, no. 2 (2018): 253–68. http://dx.doi.org/10.1002/eqe.3135.

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Po, Laura, and Serena Sorrentino. "Automatic generation of probabilistic relationships for improving schema matching." Information Systems 36, no. 2 (2011): 192–208. http://dx.doi.org/10.1016/j.is.2010.09.004.

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FERSINI, ELISABETTA, and ENZA MESSINA. "WEB PAGE CLASSIFICATION THROUGH PROBABILISTIC RELATIONAL MODELS." International Journal of Pattern Recognition and Artificial Intelligence 27, no. 04 (2013): 1350013. http://dx.doi.org/10.1142/s0218001413500134.

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In the last decade, new approaches focused on modeling uncertainty over complex relational data have been developed. In this paper, one of the most promising of such approaches, known as probabilistic relational model (PRM), has been investigated and extended in order to measure and include semantic relationships for addressing web page classification problems. Experimental results show the potential of the proposed method of capturing the "strength" of existing relationships (links) and the capacity of including this information into the probability model.
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Dissertations / Theses on the topic "Probabilistic relationships"

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Hall, Kathleen Currie. "A Probabilistic Model of Phonological Relationships from Contrast to Allophony." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250228987.

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Wang, Jun. "Probabilistic retrieval models : relationships, context-specific application, selection and implementation." Thesis, Queen Mary, University of London, 2011. http://qmro.qmul.ac.uk/xmlui/handle/123456789/655.

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Retrieval models are the core components of information retrieval systems, which guide the document and query representations, as well as the document ranking schemes. TF-IDF, binary independence retrieval (BIR) model and language modelling (LM) are three of the most influential contemporary models due to their stability and performance. The BIR model and LM have probabilistic theory as their basis, whereas TF-IDF is viewed as a heuristic model, whose theoretical justification always fascinates researchers. This thesis firstly investigates the parallel derivation of BIR model, LM and Poisson m
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Schaffer, Christopher John. "Improving probabilistic ensemble forecasts of convection through the application of QPF-POP relationships." [Ames, Iowa : Iowa State University], 2010. 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:1475939.

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Tothong, Polsak. "Probabilistic seismic demand analysis using advanced ground motion intensity measures, attenuation relationships, and near-fault effects /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Whitworth, Michael Robert Zordan. "Utilising probabilistic techniques in the assessment of extreme coastal flooding frequency-magnitude relationships using a case study from south-west England." Thesis, University of Plymouth, 2015. http://hdl.handle.net/10026.1/8803.

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Recent events such as the New Orleans floods and the Japanese tsunami of 2011 have highlighted the uncertainty in the quantification of the magnitude of natural hazards. The research undertaken here has focussed on the uncertainty in evaluating storm surge magnitudes based on a range of statistical techniques including the Generalised Extreme Value distribution, Joint Probability and Monte Carlo simulations. To support the evaluation of storm surge frequency magnitude relationships a unique hard copy observed sea level data set, recording hourly observations, was acquired and digitised for Dev
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Genc, Gence. "Probabilistic Seismic Hazard Assessment For Eskisehir." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605436/index.pdf.

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The purpose of this study is to develop probabilistic hazard maps for EskiSehir including &lsquo<br>Peak Ground Acceleration&rsquo<br>values for 10% probability of exceedance in 50-year and 100-year periods at different site classes. A seismotectonic map has been prepared in the Geographical Information Systems environment by compiling instrumental seismicity and neotectonic data for the study area. The seismic sources have been defined spatially in six areal zones, characterized by a commonly used recurrence law and a maximum magnitude value. Four attenuation relationships have been sele
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Syed, Riaz. "Development of Computational Tools for Characterization, Evaluation, and Modification of Strong Ground Motions within a Performance-Based Seismic Design Framework." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/36435.

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One of the most difficult tasks towards designing earthquake resistant structures is the determination of critical earthquakes. Conceptually, these are the ground motions that would induce the critical response in the structures being designed. The quantification of this concept, however, is not easy. Unlike the linear response of a structure, which can often be obtained by using a single spectrally modified ground acceleration history, the nonlinear response is strongly dependent on the phasing of ground motion and the detailed shape of its spectrum. This necessitates the use of a suite (bin)
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Calhoun, Sasha. "Information structure and the prosodic structure of English : a probabilistic relationship." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/8120.

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This work concerns how information structure is signalled prosodically in English, that is, how prosodic prominence and phrasing are used to indicate the salience and organisation of information in relation to a discourse model. It has been standardly held that information structure is primarily signalled by the distribution of pitch accents within syntax structure, as well as intonation event type. However, we argue that these claims underestimate the importance, and richness, of metrical prosodic structure and its role in signalling information structure. We advance a new theory, that inform
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Plaxco, David Bryant. "Relationship Between Students' Proof Schemes and Definitions." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32930.

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This research investigates relationships between undergraduate studentsâ understanding of proof and how this understanding relates to their conceptions of mathematical definitions. Three students in an introductory proofs course were each interviewed three times in order to assess their proof schemes, understand how they think of specific mathematical concepts, and investigate how the students prove relationships between these concepts. This research used theoretical frameworks from both proof and definition literature. Findings show that studentsâ ability or inability to adapt their conce
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池田, 充., Takeo Ishigaki, Mitsuru Ikeda, 一信 山内, and Kazunobu Yamauchi. "Relationship between Brier score and area under the binormal ROC curve." Elsevier, 2002. http://hdl.handle.net/2237/5310.

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Books on the topic "Probabilistic relationships"

1

Crovelli, Robert A. Probabilistic and statistical relationships between number of vehicles and number of visitors at a geologic site in a national park. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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Williamson, Jon. Probabilistic Theories. Edited by Helen Beebee, Christopher Hitchcock, and Peter Menzies. Oxford University Press, 2010. http://dx.doi.org/10.1093/oxfordhb/9780199279739.003.0010.

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Causal relationships are typically accompanied by probabilistic dependencies — normally when A causes B the former raises or lowers the probability of the latter. Probabilistic theories of causality usually try to characterize or analyse causality in terms of these probabilistic dependencies: they try to provide probabilistic criteria for deciding whether A causes B, and often maintain that causality just is the corresponding pattern of probabilistic relationships. This article provides an introduction to and criticism of such accounts. While it is argued that probabilistic theories are ultima
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Geological Survey (U.S.), ed. Probabilistic and statistical relationships between number of vehicles and number of visitors at a geologic site in a national park. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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Computational simulation of probabilistic lifetime strength for aerospace materials subjected to high temperature, mechanical fatigue, creep, and thermal fatigue: Final technical report of project entitled Development of advanced methodologies for probabilistic constitutive relationships of material strength models, phase 4. Division of Engineering, University of Texas at San Antonio, 1992.

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Computational simulation of probabilistic lifetime strength for aerospace materials subjected to high temperature, mechanical fatigue, creep, and thermal fatigue: Final technical report of project entitled Development of advanced methodologies for probabilistic constitutive relationships of material strength models, phase 4. Division of Engineering, University of Texas at San Antonio, 1992.

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B, Lovelace Thomas, and United States. National Aeronautics and Space Administration., eds. Fatigue crack growth model RANDOM2 user manual: Appendix 1 of annual report of project entitled Development of advanced methodologies for probabilistic constitutive relationships of material strength models. Division of Engineering, University of Texas at San Antonio, 1989.

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B, Lovelace Thomas, and United States. National Aeronautics and Space Administration., eds. PROMISS user manual: Appendix 1 of final technical report of project entitled Development of advanced methodologies for probabilistic constitutive relationships of material strength degradation models, phase 2. Division of Engineering, University of Texas at San Antonio, 1990.

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1944-, Boyce Lola, and United States. National Aeronautics and Space Administration., eds. Probabilistic material strength degradation model for Iconel 718 components subjected to high temperature, high-cycle and low-cycle mechanical fatigue, creep, and thermal fatigue effects: Final technical report of project entitled Development of advanced methodologies for probabilistic constitutive relationships of material strength models, phase 5 and 6. Division of Engineering, University of Texas at San Antonio, 1995.

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1944-, Boyce Lola, and United States. National Aeronautics and Space Administration., eds. Probabilistic material strength degradation model for Iconel 718 components subjected to high temperature, high-cycle and low-cycle mechanical fatigue, creep, and thermal fatigue effects: Final technical report of project entitled Development of advanced methodologies for probabilistic constitutive relationships of material strength models, phase 5 and 6. Division of Engineering, University of Texas at San Antonio, 1995.

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B, Lovelace Thomas, and United States. National Aeronautics and Space Administration., eds. Fatigue strength reduction model, RANDOM3 and RANDOM4 user manual: Appendix 2 of annual report of project entitled Development of advanced methodologies for probabilistic constitutive relationships of material strength models. Division of Engineering, University of Texas at San Antonio, 1989.

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Book chapters on the topic "Probabilistic relationships"

1

Kittler, Josef. "Probabilistic relaxation: Potential, relationships and open problems." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-62909-2_93.

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Esposito, Floriana, Donato Malerba, and Giovanni Semeraro. "Discovering Probabilistic Causal Relationships: A Comparison Between Two Methods." In Selecting Models from Data. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2660-4_24.

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Bergamaschi, Sonia, Laura Po, Serena Sorrentino, and Alberto Corni. "Uncertainty in Data Integration Systems: Automatic Generation of Probabilistic Relationships." In Management of the Interconnected World. Physica-Verlag HD, 2010. http://dx.doi.org/10.1007/978-3-7908-2404-9_26.

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Park, Laurence A. F., and Kotagiri Ramamohanarao. "The Effect of Weighted Term Frequencies on Probabilistic Latent Semantic Term Relationships." In String Processing and Information Retrieval. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89097-3_8.

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Bridle, John S. "Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition." In Neurocomputing. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-76153-9_28.

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Malerba, Donate, Giovanni Semeraro, and Floriana Esposito. "An analytic and empirical comparison of two methods for discovering probabilistic causal relationships." In Machine Learning: ECML-94. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57868-4_59.

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Van Thuong, Chau, Nguyen Cong Thanh, and Tran Le Khang. "The Firm Performance – Overinvestment Relationship Under the Government’s Regulation." In Beyond Traditional Probabilistic Methods in Economics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04200-4_84.

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Campolongo, Francesca, and Jessica Cariboni. "On the Relationship Between the Sensitivity Measures Proposed by Morris and the Variance Based Measures." In Probabilistic Safety Assessment and Management. Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_326.

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Nghia, Nguyen Trong, Tran Le Khang, and Nguyen Cong Thanh. "The Moderation Effect of Debt and Dividend on the Overinvestment-Performance Relationship." In Beyond Traditional Probabilistic Methods in Economics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04200-4_81.

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Khoi, Bui Huy, Dang Ngoc Dai, Nguyen Huu Lam, and Nguyen Van Chuong. "The Relationship Among Education Service Quality, University Reputation and Behavioral Intention in Vietnam." In Beyond Traditional Probabilistic Methods in Economics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04200-4_21.

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Conference papers on the topic "Probabilistic relationships"

1

BOYCE, L., and C. CHAMIS. "Probabilistic constitutive relationships for cyclic material strength models." In Advanced Marine Systems Conference. American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-2376.

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BOYCE, L., and C. CHAMIS. "Probabilistic constitutive relationships for material strength degradation models." In 30th Structures, Structural Dynamics and Materials Conference. American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-1368.

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Rahimi, Marziea, Morteza Zahedi, and Hoda Mashayekhi. "Incorporating local word relationships into probabilistic topic models." In 2015 7th Conference on Information and Knowledge Technology (IKT). IEEE, 2015. http://dx.doi.org/10.1109/ikt.2015.7288758.

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Misra, Anil, and Lance A. Roberts. "Probabilistic Axial Load Displacement Relationships for Drilled Shafts." In Geo-Frontiers Congress 2005. American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40777(156)4.

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"CHARACTERIZING RELATIONSHIPS THROUGH CO-CLUSTERING - A Probabilistic Approach." In International Conference on Knowledge Discovery and Information Retrieval. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003656800640073.

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Raschid, Louiqa, Zheng Xu, and Elena Zotkina. "Exploring Financial Relationships Using Probabilistic Topic Models (Demonstration Paper)." In SIGMOD/PODS'17: International Conference on Management of Data. ACM, 2017. http://dx.doi.org/10.1145/3077240.3077247.

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Wang, Xiaoyang, and Qiang Ji. "A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects." In 2013 IEEE International Conference on Computer Vision (ICCV). IEEE, 2013. http://dx.doi.org/10.1109/iccv.2013.264.

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Keshavarz, Somayeh, Imran Saleemi, and George Atia. "Exploiting probabilistic relationships between action concepts for complex event classification." In 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 2017. http://dx.doi.org/10.1109/icip.2017.8296546.

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"REPRESENTATION OF ARABIC WORDS - An Approach Towards Probabilistic Root-Pattern Relationships." In International Conference on Knowledge Engineering and Ontology Development. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002287101470152.

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Mahanti, Prasun, and Mark S. Robinson. "Visualization of probabilistic relationships in shape-maturity data for lunar craters." In IS&T/SPIE Electronic Imaging, edited by Pak Chung Wong, David L. Kao, Ming C. Hao, and Chaomei Chen. SPIE, 2013. http://dx.doi.org/10.1117/12.2042618.

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Reports on the topic "Probabilistic relationships"

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Mann, Gideon. Multi-Document Relationship Fusion via Constraints on Probabilistic Databases. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada464777.

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