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NIPS
2000
14 years 11 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
KIVS
1999
Springer
15 years 1 months ago
Mobile Agents as an Architectural Concept for Internet-Based Distributed Applications - The WASP Project Approach
Abstract. After introducing the concept of mobile agents and potential application domains, we motivate why mobile agent technology is an interesting concept for large Internet-bas...
Stefan Fünfrocken, Friedemann Mattern
88
Voted
ADHOC
2008
122views more  ADHOC 2008»
14 years 9 months ago
Balancing computation and communication costs: The case for hybrid execution in sensor networks
Virtual machines (VM) are promising as system software in sensor networks. A major impediment to their widespread acceptance is their performance overhead. Compiling VM bytecode to...
Joel Koshy, Ingwar Wirjawan, Raju Pandey, Yann Ram...
FAABS
2004
Springer
15 years 3 months ago
A Formal Analysis of Potential Energy in a Multi-agent System
Abstract. This paper summarizes a novel framework, called “physicomimetics,” for the distributed control of large collections of mobile physical agents in sensor networks. The ...
William M. Spears, Diana F. Spears, Rodney Heil
ICDCS
2011
IEEE
13 years 9 months ago
YSmart: Yet Another SQL-to-MapReduce Translator
— MapReduce has become an effective approach to big data analytics in large cluster systems, where SQL-like queries play important roles to interface between users and systems. H...
Rubao Lee, Tian Luo, Yin Huai, Fusheng Wang, Yongq...