Sciweavers

1349 search results - page 3 / 270
» Models for Incomplete and Probabilistic Information
Sort
View
FSS
2008
87views more  FSS 2008»
13 years 5 months ago
Representing parametric probabilistic models tainted with imprecision
Numerical possibility theory, belief function have been suggested as useful tools to represent imprecise, vague or incomplete information. They are particularly appropriate in unc...
Cédric Baudrit, Didier Dubois, Nathalie Per...
ACISICIS
2005
IEEE
13 years 11 months ago
Modeling Uncertainty in Context-Aware Computing
Uncertainty always exists as an unavoidable factor in any pervasive context-aware applications. This is mostly caused by the imperfectness and incompleteness of data. In this pape...
Binh An Truong, Young-Koo Lee, Sungyoung Lee
ECML
2007
Springer
13 years 12 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
ICMLA
2010
13 years 3 months ago
A Probabilistic Graphical Model of Quantum Systems
Quantum systems are promising candidates of future computing and information processing devices. In a large system, information about the quantum states and processes may be incomp...
Chen-Hsiang Yeang
SIGIR
2004
ACM
13 years 11 months ago
Probabilistic model for contextual retrieval
Contextual retrieval is a critical technique for facilitating many important applications such as mobile search, personalized search, PC troubleshooting, etc. Despite of its impor...
Ji-Rong Wen, Ni Lao, Wei-Ying Ma