Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
21
click to vote
EMSOFT
2009
Springer
favorite
Email
discuss
report
137
views
Software Engineering
»
more
EMSOFT 2009
»
Markov decision process (MDP) framework for optimizing software on mobile phones
14 years 5 months ago
Download
www.ece.ucdavis.edu
Tang Lung Cheung, Kari Okamoto, Frank Maker III, X
Real-time Traffic
EMSOFT 2009
|
Software Engineering
|
claim paper
Related Content
»
Building efficient partial plans using Markov decision processes
»
Optimality and Complexity of Opportunistic Spectrum Access A Truncated Markov Decision Pro...
»
A Markov Decision Process based flow assignment framework for heterogeneous network access
»
A Framework of Stochastic Power Management Using Hidden Markov Model
»
A Hybridized Planner for Stochastic Domains
»
Markov Games as a Framework for MultiAgent Reinforcement Learning
»
Solving Factored MDPs with Hybrid State and Action Variables
»
Optimizing debt collections using constrained reinforcement learning
»
Foresighted Resource Reciprocation Strategies in P2P Networks
more »
Post Info
More Details (n/a)
Added
26 May 2010
Updated
26 May 2010
Type
Conference
Year
2009
Where
EMSOFT
Authors
Tang Lung Cheung, Kari Okamoto, Frank Maker III, Xin Liu, Venkatesh Akella
Comments
(0)
Researcher Info
Software Engineering Study Group
Computer Vision