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» Mobile learning: A framework and evaluation
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ROBOCUP
2004
Springer
147views Robotics» more  ROBOCUP 2004»
14 years 2 months ago
Learning to Drive and Simulate Autonomous Mobile Robots
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
Alexander Gloye, Cüneyt Göktekin, Anna E...
COMSWARE
2007
IEEE
14 years 3 months ago
The Transport Layer Revisited
— End-to-end transport protocols such as TCP perform poorly in mobile environments, primarily due to their inability to cope with the dynamics incurred by node mobility. We re-co...
Simon Heimlicher, Rainer Baumann, Martin May, Bern...
ICDCS
2002
IEEE
14 years 2 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
ISSTA
2006
ACM
14 years 3 months ago
Performance assertions for mobile devices
Assertions have long been used to validate the functionality of software systems. Researchers and practitioners have extended them for validation of non-functional requirements, s...
Raimondas Lencevicius, Edu Metz
PRDC
2002
IEEE
14 years 1 months ago
A Consensus Algorithm for Synchronous Distributed Systems using Mobile Agent
In this paper, we present a consensus algorithm for synchronous distributed systems using cooperating mobile agents. The algorithm is designed within a framework for mobile agent ...
Jiannong Cao, Xianbing Wang, Siu Lo, Sajal K. Das