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» Structure learning of Bayesian networks using constraints
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NIPS
2003
15 years 6 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
118
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AIEDU
2006
77views more  AIEDU 2006»
15 years 5 months ago
Constraint-based Modeling and Ambiguity
Constraint-based modeling has been used in many application areas of Intelligent Tutoring Systems as a powerful means to analyse erroneous student solutions and generate helpful fe...
Wolfgang Menzel
IJNS
2010
106views more  IJNS 2010»
15 years 3 months ago
Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks
Abstract: Cascade process, such as wastewater treatment plant, includes many nonlinear subsystems and many variables. When the number of sub-systems is big, the input-output relati...
Qiumei Cong, Wen Yu, Tianyou Chai
INFOCOM
2005
IEEE
15 years 10 months ago
Mobile-assisted localization in wireless sensor networks
Abstract— The localization problem is to determine an assignment of coordinates to nodes in a wireless ad-hoc or sensor network that is consistent with measured pairwise node dis...
Nissanka B. Priyantha, Hari Balakrishnan, Erik D. ...
TCSV
2011
14 years 12 months ago
Integrating Spatio-Temporal Context With Multiview Representation for Object Recognition in Visual Surveillance
—We present in this paper an integrated solution to rapidly recognizing dynamic objects in surveillance videos by exploring various contextual information. This solution consists...
Xiaobai Liu, Liang Lin, Shuicheng Yan, Hai Jin, We...