215 search results - page 7 / 43 » Learning to Predict User Operations for Adaptive Scheduling |
AAAI
2006
13 years 8 months ago
2006
A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
CSREAESA
2010
13 years 5 months ago
2010
Component-based operating systems enable embedded systems to adapt system policies, mechanisms, and abstractions to the specific workloads and contexts of each system. The scope o...
NN
2006
Springer
13 years 7 months ago
2006
Springer
Most reinforcement learning models of animal conditioning operate under the convenient, though fictive, assumption that Pavlovian conditioning concerns prediction learning whereas...
SIGMOD
1989
ACM
13 years 11 months ago
1989
ACM
Todays computer interfaces are one-size-fits-all. Users with little programming experience have very limited opportunities to customize an interface to their task and work habits...
ICS
2005
Tsinghua U.
14 years 26 days ago
2005
Tsinghua U.
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...