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JMLR
2006
169views more  JMLR 2006»
15 years 4 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
NETWORK
2007
187views more  NETWORK 2007»
15 years 3 months ago
Cooperative and opportunistic transmission for wireless ad hoc networks
Moving toward 4G, wireless ad hoc networks receive growing interest due to users’ provisioning of mobility, usability of services, and seamless communications. In ad hoc network...
Qian Zhang, Qing Chen, Fan Yang, Xuemin Shen, Zhis...
AUTOMATICA
2010
111views more  AUTOMATICA 2010»
15 years 1 months ago
Connection between cooperative positive systems and integral input-to-state stability of large-scale systems
We consider a class of continuous-time cooperative systems evolving on the positive orthant Rn +. We show that if the origin is globally attractive, then it is also globally stabl...
Björn Rüffer, Christopher M. Kellett, St...
BMCBI
2011
14 years 11 months ago
Systematic error detection in experimental high-throughput screening
Background: High-throughput screening (HTS) is a key part of the drug discovery process during which thousands of chemical compounds are screened and their activity levels measure...
Plamen Dragiev, Robert Nadon, Vladimir Makarenkov
CORR
2010
Springer
91views Education» more  CORR 2010»
14 years 11 months ago
TSDS: high-performance merge, subset, and filter software for time series-like data
Time Series Data Server (TSDS) is a software package for implementing a server that provides fast supersetting, sub-setting, filtering, and uniform gridding of time series-like dat...
Robert S. Weigel, Doug M. Lindholm, A. Wilson, Jer...