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IROS
2007
IEEE
95views Robotics» more  IROS 2007»
15 years 4 months ago
Modeling affordances using Bayesian networks
— Affordances represent the behavior of objects in terms of the robot’s motor and perceptual skills. This type of knowledge plays a crucial role in developmental robotic system...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
IAT
2005
IEEE
15 years 3 months ago
Modelling Multiagent Bayesian Networks with Inclusion Dependencies
Multiagent Bayesian networks (MABNs) are a powerful new framework for uncertainty management in a distributed environment. In a MABN, a collective joint probability distribution i...
Cory J. Butz
ECSQARU
2003
Springer
15 years 3 months ago
A Multi-layered Bayesian Network Model for Structured Document Retrieval
New standards in document representation, like for example SGML, XML, and MPEG-7, compel Information Retrieval to design and implement models and tools to index, retrieve and prese...
Fabio Crestani, Luis M. de Campos, Juan M. Fern&aa...
FSKD
2006
Springer
122views Fuzzy Logic» more  FSKD 2006»
15 years 1 months ago
Context Modeling with Bayesian Network Ensemble for Recognizing Objects in Uncertain Environments
Abstract. It is difficult to understand a scene from visual information in uncertain real world. Since Bayesian network (BN) is known as good in this uncertainty, it has received s...
Seung-Bin Im, Youn-Suk Song, Sung-Bae Cho
IJDMB
2008
132views more  IJDMB 2008»
14 years 10 months ago
A Bayesian framework for knowledge driven regression model in micro-array data analysis
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
Rong Jin, Luo Si, Christina Chan