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» Learning to Predict User Operations for Adaptive Scheduling
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IPPS
1999
IEEE
14 years 22 days ago
Non-Preemptive Scheduling of Real-Time Threads on Multi-Level-Context Architectures
The rapid progress in high-performance microprocessor design has made it di cult to adapt real-time scheduling results to new models of microprocessor hardware, thus leaving an un...
Jan Jonsson, Henrik Lönn, Kang G. Shin
CHI
2007
ACM
14 years 8 months ago
How it works: a field study of non-technical users interacting with an intelligent system
In order to develop intelligent systems that attain the trust of their users, it is important to understand how users perceive such systems and develop those perceptions over time...
Joe Tullio, Anind K. Dey, Jason Chalecki, James Fo...
CE
2008
122views more  CE 2008»
13 years 8 months ago
Ubiquitous learning website: Scaffold learners by mobile devices with information-aware techniques
The portability and immediate communication properties of mobile devices influence the learning processes in interacting with peers, accessing resources and transferring data. For...
G. D. Chen, C. K. Chang, C. Y. Wang
AAAI
2007
13 years 10 months ago
Enabling Intelligent Content Discovery on the Mobile Internet
The mobile Internet is a massive opportunity for mobile operators and content providers, but despite significant improvements in handsets, infrastructure, content, and charging m...
Barry Smyth, Paul Cotter, Stephen Oman
ICANN
2005
Springer
14 years 2 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber