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BMCBI
2008
137views more  BMCBI 2008»
15 years 6 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
JSAC
2006
107views more  JSAC 2006»
15 years 6 months ago
Adaptive Sensor Activity Control in Many-to-One Sensor Networks
Abstract--In this paper, we consider a many-to-one sensor network where a large number of sensors are deployed to monitor a physical environment. We explore sensor activity managem...
Zhifeng Hu, Junshan Zhang, Lang Tong
HICSS
2003
IEEE
207views Biometrics» more  HICSS 2003»
15 years 11 months ago
Formalizing Multi-Agent POMDP's in the context of network routing
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
Bharaneedharan Rathnasabapathy, Piotr J. Gmytrasie...
FAST
2010
15 years 8 months ago
Discovery of Application Workloads from Network File Traces
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...
ASMTA
2008
Springer
167views Mathematics» more  ASMTA 2008»
15 years 8 months ago
Perfect Simulation of Stochastic Automata Networks
The solution of continuous and discrete-time Markovian models is still challenging mainly when we model large complex systems, for example, to obtain performance indexes of paralle...
Paulo Fernandes, Jean-Marc Vincent, Thais Webber