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IWCMC
2006
ACM
14 years 4 months ago
Distributed obstacle localization in large wireless sensor networks
Obstacles are but pleasing for many aspects of large realworld sensor networks. Among other things, the presence of obstacles distort the sensor node localization process and migh...
Frank Reichenbach, Ralf Salomon, Dirk Timmermann
ICCSA
2004
Springer
14 years 3 months ago
Semantic Completeness in Sub-ontology Extraction Using Distributed Methods
The use of ontologies lies at the very heart of the newly emerging era of Semantic Web. They provide a shared conceptualization of some domain that may be communicated between peop...
Mehul Bhatt, Carlo Wouters, Andrew Flahive, J. Wen...
ICPADS
1997
IEEE
14 years 2 months ago
An Approach for Mobile Agent Security and Fault Tolerance using Distributed Transactions
Mobile agents are no longer a theoretical issue since different architectures for their realization have been proposed. With the increasing market of electronic commerce it become...
Hartmut Vogler, Thomas Kunkelmann, Marie-Luise Mos...
EDM
2010
113views Data Mining» more  EDM 2010»
13 years 11 months ago
Using multiple Dirichlet distributions to improve parameter plausibility
Predictive accuracy and parameter plausibility are two major desired aspects for a student modeling approach. Knowledge tracing, the most commonly used approach, suffers from local...
Yue Gong, Joseph E. Beck, Neil T. Heffernan
ICML
2010
IEEE
13 years 11 months ago
Nonparametric Return Distribution Approximation for Reinforcement Learning
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashim...