Results 251 to 260 of about 14,817,250 (289)
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A probabilistic model of integration
Decision Support Systems, 2008We propose a probabilistic model of integration where decisions about integration are made based on the perceived ensuing benefit. Integration proceeds in a pairwise manner. This model provides a way to think formally about the integration processes in networks.
Stephan Olariu, Jeffrey V. Nickerson
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Probabilistic weak bisimulation and axiomatization for probabilistic models
Information Processing Letters, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hao Wu 0095, Huan Long
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A Probabilistic Model for Obsolescence
Operations Research, 1969A Markovian model is presented of a class of items with use-rate that is randomly distributed and with mean use or popularity that diminishes exponentially with time. Tables are given of the functions involved. As an example, it is shown that the yearly circulation of books in a library corresponds to the model, thus enabling circulation ...
Philip M. Morse, Caroline Elston
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A Probabilistic Model of MOSAIC
2007 IEEE Symposium on Foundations of Computational Intelligence, 2007Humans can generate accurate and appropriate motor commands in various and even uncertain environments. MOSAIC (MOdular Sellection And Identification for Control) was formerly proposed for describing such human ability, but it includes some complex and heuristic procedures which make the model's understandability hard.
Satoshi Osaga +3 more
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Constructing probabilistic models
International Journal of Medical Informatics, 1997Bayesian networks have become one of the most popular probabilistic techniques in AI, largely due to the development of several efficient inference algorithms. In this paper we describe a heuristic method for constructing Bayesian networks. Our construction method relies on the relationship between Bayesian networks and decomposable models, a special ...
R, Jirousek, N, Kushmerick
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Probabilistic model of triangulation
Proceedings of the 2008 ACM symposium on Solid and physical modeling, 2008This paper analyses the probability that randomly deployed sensor nodes triangulate any point within the target area. Its major result is the probability of triangulation for any point given the number of nodes lying up to a specific distance (2 units) from it, employing a graph representation where an edge exists between any two nodes close than 2 ...
Xiaoyun Li, David K. Hunter
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Communications of the ACM, 2011
Surveying a suite of algorithms that offer a solution to managing large document archives.
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Surveying a suite of algorithms that offer a solution to managing large document archives.
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International Journal of Machine Learning and Cybernetics, 2012
The differential equation associated regression (DEAR) is a flexible and powerful data mining modeling approach, which is intended to catch up the first-order nonlinear trend (i.e., regularity) governing the behavior of the data under investigation. DEAR modeling is a formal mathematical–statistical representation of the so-called grey differential ...
Yanhong Cui, Renkuan G. Guo, Danni Guo
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The differential equation associated regression (DEAR) is a flexible and powerful data mining modeling approach, which is intended to catch up the first-order nonlinear trend (i.e., regularity) governing the behavior of the data under investigation. DEAR modeling is a formal mathematical–statistical representation of the so-called grey differential ...
Yanhong Cui, Renkuan G. Guo, Danni Guo
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A probabilistic model for stemmer generation
Information Processing & Management, 2005In this paper we will present a language-independent probabilistic model which can automatically generate stemmers. Stemmers can improve the retrieval effectiveness of information retrieval systems, however the designing and the implementation of stemmers requires a laborious amount of effort due to the fact that documents and queries are often written
BACCHIN, MICHELA +2 more
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A probabilistic model of geographic relevance
Proceedings of the 6th Workshop on Geographic Information Retrieval, 2010In this paper, we present a new model for the assessment of Geographic Relevance. This model is drawn from Okapi BM25, thus it takes into account not only a score for each di- mension of relevance but also the distribution of these scores within the collection.
Stefano De Sabbata +1 more
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