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» Long term tracking using Bayesian networks
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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 9 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
UAI
2000
15 years 5 months ago
Gaussian Process Networks
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
Nir Friedman, Iftach Nachman
NETWORK
2010
92views more  NETWORK 2010»
14 years 10 months ago
On the use of RTP for monitoring and fault isolation in IPTV
Since the first operational IPTV networks have been deployed, service providers and operators have struggled to make their subscribers happy and satisfied with their services. To ...
Ali C. Begen, Colin Perkins, Jörg Ott
ISN
1995
Springer
109views Communications» more  ISN 1995»
15 years 7 months ago
Issues in the Integration of IN and TMN
Over recent years, the need to introduce rapidly new telecommunications services has led to the development of the Intelligent Network (IN). These services and the increasingly com...
George Pavlou, David Griffin
CCS
2008
ACM
15 years 6 months ago
Efficiently tracking application interactions using lightweight virtualization
In this paper, we propose a general-purpose framework that harnesses the power of lightweight virtualization to track applications interactions in a scalable an efficient manner. ...
Yih Huang, Angelos Stavrou, Anup K. Ghosh, Sushil ...