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» Simulating Context Effects in Problem Solving with AMBR
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AI
2002
Springer
13 years 7 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
ATAL
2007
Springer
14 years 1 months ago
Modelling the provenance of data in autonomous systems
Determining the provenance of data, i.e. the process that led to that data, is vital in many disciplines. For example, in science, the process that produced a given result must be...
Simon Miles, Steve Munroe, Michael Luck, Luc Morea...
DAC
2005
ACM
14 years 8 months ago
Robust gate sizing by geometric programming
We present an efficient optimization scheme for gate sizing in the presence of process variations. Using a posynomial delay model, the delay constraints are modified to incorporat...
Jaskirat Singh, Vidyasagar Nookala, Zhi-Quan Luo, ...
AB
2007
Springer
14 years 1 months ago
Algorithmic Algebraic Model Checking IV: Characterization of Metabolic Networks
A series of papers, all under the title of Algorithmic Algebraic Model Checking (AAMC), has sought to combine techniques from algorithmic algebra, model checking and dynamical syst...
Venkatesh Mysore, Bud Mishra
MOBICOM
2006
ACM
14 years 1 months ago
Localized algorithm for aggregate fairness in wireless sensor networks
For data-collection applications in sensor networks, it is important to ensure all data sources have equal (or weighted) access to network bandwidth so that the base stations rece...
Shigang Chen, Zhan Zhang