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2009
ACM
14 years 5 months ago
Kestrel: an XMPP-based framework for many task computing applications
This paper presents a new distributed computing framework for Many Task Computing (MTC) applications, based on the Extensible Messaging and Presence Protocol (XMPP). A lightweight...
Lance Stout, Michael A. Murphy, Sebastien Goasguen
KDD
2009
ACM
189views Data Mining» more  KDD 2009»
14 years 5 months ago
CoCo: coding cost for parameter-free outlier detection
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
Christian Böhm, Katrin Haegler, Nikola S. M&u...
IPSN
2007
Springer
14 years 4 months ago
Robust system multiangulation using subspace methods
Sensor location information is a prerequisite to the utility of most sensor networks. In this paper we present a robust and low-complexity algorithm to self-localize and orient se...
Joshua N. Ash, Lee C. Potter
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 3 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
ERLANG
2003
ACM
14 years 3 months ago
Evaluating distributed functional languages for telecommunications software
The distributed telecommunications sector not only requires minimal time to market, but also software that is reliable, available, maintainable and scalable. High level programmin...
Jan Henry Nyström, Philip W. Trinder, David J...