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
23
click to vote
ISMB
1994
favorite
Email
discuss
report
98
views
Computational Biology
»
more
ISMB 1994
»
Distributed Machine Learning: Scaling Up with Coarse-grained Parallelism
13 years 9 months ago
Download
www.aaai.org
Foster J. Provost, Daniel N. Hennessy
Real-time Traffic
Computational Biology
|
ISMB 1994
|
claim paper
Related Content
»
A Coarse Grained Parallel Algorithm for Closest Larger Ancestors in Trees with Application...
»
Adaptive Retrieval Agents Internalizing Local Context and Scaling up to the Web
»
PPrism A Computationally Efficient Approach to Scaling up Classification Rule Induction
»
A Distributed Kernel Summation Framework for GeneralDimension Machine Learning
»
Parallel boosted regression trees for web search ranking
»
DryadLINQ A System for GeneralPurpose Distributed DataParallel Computing Using a HighLevel...
»
BottomUp Construction and 2 1 Balance Refinement of Linear Octrees in Parallel
»
Distributed Parallel Support Vector Machines in Strongly Connected Networks
»
Provisioning a Multitiered Data Staging Area for ExtremeScale Machines
more »
Post Info
More Details (n/a)
Added
02 Nov 2010
Updated
02 Nov 2010
Type
Conference
Year
1994
Where
ISMB
Authors
Foster J. Provost, Daniel N. Hennessy
Comments
(0)
Researcher Info
Computational Biology Study Group
Computer Vision