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CIDM
2007
IEEE
16 years 1 months ago
Structure Prediction in Temporal Networks using Frequent Subgraphs
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...
Mayank Lahiri, Tanya Y. Berger-Wolf
ECAL
2007
Springer
15 years 10 months ago
Evolution of Neural Networks for Active Control of Tethered Airfoils
Recent development in tethered airfoil i.e. kite technology allows the possibility of exploitation of wind energy at higher altitudes than achievable with traditional wind turbines...
Allister Furey, Inman Harvey
AUSAI
2006
Springer
15 years 10 months ago
Voting Massive Collections of Bayesian Network Classifiers for Data Streams
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
Remco R. Bouckaert
EVOW
2008
Springer
15 years 8 months ago
Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps
A fundamental problem of modelling in Systems Biology is to precisely characterise quantitative parameters, which are hard to measure experimentally. For this reason, it is common ...
Hendrik Rohn, Bashar Ibrahim, Thorsten Lenser, Tho...
FLAIRS
1998
15 years 8 months ago
Aflatoxin Prediction Using a GA Trained Neural Network
Predictingthe level of aflatoxincontaminationin cropsof peanuts is a task of significant importance. Backpmpagationneural networkshavebeenused in the past to modelthis problem,but...
C. E. Henderson, Walter D. Potter, Ronald W. McCle...