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COMMA
2010
14 years 10 months ago
Probabilistic Semantics for the Carneades Argument Model Using Bayesian Networks
Abstract. This paper presents a technique with which instances of argument structures in the Carneades model can be given a probabilistic semantics by translating them into Bayesia...
Matthias Grabmair, Thomas F. Gordon, Douglas Walto...
131
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WSC
2004
15 years 5 months ago
Multi-Formalism Modeling Approach for Semiconductor Supply/Demand Networks
Building computational models of real world systems usually requires the interaction of decision modules and simulation modules. Given different models and algorithms, the major h...
Gary W. Godding, Hessam S. Sarjoughian, Karl G. Ke...
133
Voted
COMPSAC
2008
IEEE
15 years 10 months ago
A Component-Based Model and Language for Wireless Sensor Network Applications
Wireless sensor networks are often used by experts in many different fields to gather data pertinent to their work. Although their expertise may not include software engineering, ...
Alan Dearle, Dharini Balasubramaniam, Jonathan Lew...
128
Voted
DANCE
2002
IEEE
15 years 8 months ago
Modeling CPU Demand in Heterogeneous Active Networks
Active-network technology envisions deploying execution environments in network elements so that application-specific processing can be applied to network traffic. To provide safe...
Virginie Galtier, Kevin L. Mills, Yannick Carlinet
138
Voted
BSN
2009
IEEE
140views Sensor Networks» more  BSN 2009»
15 years 10 months ago
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...
Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafa...