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TSMC
2008
164views more  TSMC 2008»
14 years 9 months ago
Bagging and Boosting Negatively Correlated Neural Networks
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
Md. Monirul Islam, Xin Yao, S. M. Shahriar Nirjon,...
NETWORK
2007
187views more  NETWORK 2007»
14 years 9 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...
IOR
2010
169views more  IOR 2010»
14 years 8 months ago
Dynamic Supplier Contracts Under Asymmetric Inventory Information
In this paper, we examine a supply chain in which a single supplier sells to a downstream retailer. We consider a multi-period model, with the following sequence of events. In per...
Hao Zhang, Mahesh Nagarajan, Greys Sosic
JSS
2010
120views more  JSS 2010»
14 years 8 months ago
An evaluation of timed scenario notations
There is a general consensus on the importance of good Requirements Engineering (RE) for achieving high quality software. The modeling and analysis of requirements have been the m...
Jameleddine Hassine, Juergen Rilling, Rachida Dsso...
TMC
2010
130views more  TMC 2010»
14 years 8 months ago
SYNAPSE++: Code Dissemination in Wireless Sensor Networks Using Fountain Codes
—This paper presents SYNAPSE++, a system for over the air reprogramming of wireless sensor networks (WSNs). In contrast to previous solutions, which implement plain negative ackn...
Michele Rossi, Nicola Bui, Giovanni Zanca, Luca St...