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Decision Theoretic Foundations of Graphical Model Selection [article]

Paola Sebastiani, Marco Ramoni
2013 arXiv   pre-print
This paper describes a decision theoretic formulation of learning the graphical structure of a Bayesian Belief Network from data.  ...  more general loss functions able to trade-off the complexity of the selected model and the error of choosing an oversimplified model.  ...  The decision theoretic formulation of the model selection process subsumes the standard Bayesian strategy of selecting the model with the largest posterior probability as the solution of a decision problem  ... 
arXiv:1301.7410v1 fatcat:y3ldpgcigncs3gycdxodpu7kde

Justifying design decisions with theory-based design principles

Michael Schermann, Andreas Gehlert, Helmut Krcmar, Klaus Pohl
2009 European Conference on Information Systems  
We extend the concept of design rationales by using theoretical hypotheses to support or object to design decisions.  ...  At the example of developing a new conceptual modeling grammar we demonstrate two main benefits of using design principles.  ...  The given set of arguments provides the foundation for making a decision with regard to an issue.  ... 
dblp:conf/ecis/SchermannGKP09 fatcat:v5p4ru56c5cc7hlxdf3fge5ylu

Page 559 of American Society of Civil Engineers. Collected Journals Vol. 129, Issue 7 [page]

2003 American Society of Civil Engineers. Collected Journals  
While the existing mathematical model descriptions provide a good theoretical foundation of the models, many chapters fail to provide basic information needed for practical implementation.  ...  Such information may include an overview on input data requirements to drive the models, the availability of a graphical user interface and decision support sys- tem to help in the preparation of input  ... 

Medical Learning Tool for Ventilator Weaning Protocols

Juan Camilo Mesa Agudelo, Maria Bernarda Salazar Sánchez
2020 Revista EIA  
The application has two fully graphic modules, which provide theoretical information and a set of clinical cases of patients under spontaneous breathing tests.  ...  the critical concepts of ventilator weaning.  ...  The first mode (Theoretical foundation) allows medical students to learn and to train through the theoretical foundation shown interactively.  ... 
doi:10.24050/reia.v17i34.1416 fatcat:ukfqrtk4wfexfirrcc3bm2b7bq

TVNViewer: An interactive visualization tool for exploring networks that change over time or space

R. E. Curtis, A. Yuen, L. Song, A. Goyal, E. P. Xing
2011 Bioinformatics  
This is an advanced machine learning course covering probabilistic graphical models for efficient inference, decision-making and learning in problems with a very large number of attributes, complex stochastic  ...  dependencies, and huge datasets. • Instructor, Advanced Topics in Graphical Models (10-801).  ... 
doi:10.1093/bioinformatics/btr273 pmid:21551142 pmcid:PMC3117350 fatcat:xvl5xgon3jah7hkljw2zco6mjm

Wiley Series in Probability and Statistics [chapter]

2008 Exploration and Analysis of DNA Microarray and Protein Array Data  
in computerized practice to rigorous treatment of theoretical approaches.  ...  Reflecting the wide range of current research in statistics, the series encompasses applied, methodological and theoretical statistics, ranging from applications and new techniques made possible by advances  ...  Theoretical Probability for Applications POURAHMADI . Foundations of Time Series Analysis and Prediction Theory PRESS . Bayesian Statistics: Principles, Models, and Applications PRESS .  ... 
doi:10.1002/9780470317129.oth1 fatcat:mqisr44b5vbmvomw7qhpsdcrku

Quantum Physical Symbol Systems

Kathryn Blackmond Laskey
2006 Journal of Logic, Language and Information  
Knowledge representation languages based on graphical probability and decision models have now attained sufficient expressive power to support general computing applications.  ...  It is hypothesized that a sufficiently expressive probabilistic logic executing on quantum hardware could perform Bayesian learning and decision-theoretic reasoning with efficiency far surpassing that  ...  Last but not least, this paper is dedicated to the memory of Danny Pearl and to the potential of his father Judea Pearl's seminal research, if properly applied, to build a world in which people of all  ... 
doi:10.1007/s10849-005-9009-3 fatcat:itkc5tor2rcirojyjyvedwpdei

Study of Conceptual Bases of Software Functioning for the Representation of Deliberative Argumentation

Elena Lisanyuk, Dmitry Prokudin
2020 International Conference "Internet and Modern Society"  
modeling of intellectual activity to solve various types of practical problems, as well as argumentation.  ...  In this study, based on the identification of software intended for the simulation of deliberative reasoning, analysis of its purpose and main functions, the conceptual foundations of their functioning  ...  Although some analysts examine the aspects of using such software in the applied fields [7] , the theoretical foundations implemented in the software for modeling argumentation, deliberative reasoning  ... 
dblp:conf/ims2/LisanyukP20 fatcat:cfq5dxwapzh4fdr2nd5dyuffla

The contributions of organizational science to the development of decision support systems research subspecialties

Sean B. Eom, Roy S. Farris
1996 Journal of the American Society for Information Science  
Two subareas of DSS research are disappearing--individual difference and foundations. GDSS research has been strengthened and model management research has been a continuously central research theme.  ...  Organization science and multiple criteria decision making are steady fields of DSS contributing disciplines.  ...  Behavioral decision theorists proposed a variety of mechanisms that influence strategy selection.  ... 
doi:10.1002/(sici)1097-4571(199612)47:12<941::aid-asi7>3.0.co;2-2 fatcat:mhqbw5nuf5ce7kca2zmdkgrxt4

Wiley Series in Probability and Statistics [chapter]

2005 Mixed Models  
in computerized practice to rigorous treatment of theoretical approaches.  ...  Reflecting the wide range of current research in statistics, the series encompasses applied, methodological and theoretical statistics, ranging from applications and new techniques made possible by advances  ...  Theoretical Probability for Applications POURAHMADI . Foundations of Time Series Analysis and Prediction Theory PRESS . Bayesian Statistics: Principles, Models, and Applications PRESS .  ... 
doi:10.1002/0471728438.scard fatcat:la5cgyqeqvasbazwu2tpbiadqm

Page 498 of Mathematical Reviews Vol. , Issue 99a [page]

1991 Mathematical Reviews  
Shenoy, A new pruning method for solving decision trees and game trees (482-490); Peter Spirtes, Directed cyclic graphical representations of feedback models (491-498); Pe- ter Spirtes, Christopher Meek  ...  Clancy, Focusing qualitative simulation using temporal logic: theoretical foundations (59-86); Clare Dixon, Temporal resolution using a breadth-first search algorithm (87-115); Daniel Kayser and Aicha  ... 

Page 399 of Human Resources Abstracts Vol. 22, Issue 3 [page]

1987 Human Resources Abstracts  
devising verbal action plans and decision models, analyzing oral texts, and utilizing a variety of techniques for data reduction.  ...  we justify it in our theoretical framework?”  ... 

Teacher's New Compass. Rethinking Educational Methods. Between using Examples from Contemporary Visual Culture and Classic Teaching Materials

Zuzanna Sękowska
2020 ARPHA Proceedings  
Some didactic methods, which have their sources in the work model used in arts education, provide valuable potential in working with students of faculties with a strictly theoretical profile.  ...  An equally important aspect is the possibility of activating the potential of abstract thinking, including in the classical model of university work seemingly 'useless' competences for theoreticians –  ...  Each of the graphic designers was asked to prepare 2 illustrations for 8 selected words from the above (i.e. graphics in total).  ... 
doi:10.3897/ap.2.e2213 doaj:a93f4ad6c696446eb52bfd5f42e07a92 fatcat:4jrqsoiul5b6zeps3s423uxedy

Automatically Building Diagnostic Bayesian Networks from On-line Data Sources and the SMILE Web-based Interface [chapter]

Anucha Tungkasthan, Nipat Jongsawat, Pittaya Poompuang, Sarayut Intarasema, Wichian Premchaiswadi
2010 Decision Support Systems  
Acknowledgement The authors would like to thank the Decision Systems Laboratory, University of Pittsburgh for supporting documents, and source file of the engines: Structural Modeling, Inference, and Learning  ...  All necessary files and documentations have been obtained from the Decision Systems Laboratory's web site. It is available at http://genie.sis.pitt.edu.  ...  They propose the idea of building and developing graphical decision-theoretic models on a web page in order to overcome such the limitation of Bayesian belief network software developed on a windows-based  ... 
doi:10.5772/39456 fatcat:6w7l56pyofhb3ggi43lkzjzuum

3rd International Workshop on Image Mining. Theory and Applications (IMTA-3-2010)

2011 Pattern Recognition and Image Analysis  
Automation of image processing, analysis, estimat ing and understanding is one of the crucial points of theoretical computer science having decisive impor tance for applications, in particular, for diversification  ...  The natural way to overcome the above mentioned contradiction between "pictorial nature" of an image and the "formal" (symbolic) foundations of IAE is to introduce pattern recognition oriented image models  ... 
doi:10.1134/s1054661811010123 fatcat:ntlw6dbz45gn5kfw6qfzyf4s6q
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