Sciweavers

NETWORKS
2007
13 years 11 months ago
The maximum residual flow problem: NP-hardness with two-arc destruction
The maximum residual flow problem with one-arc destruction is shown to be solvable in strongly polynomial time in [Aneja et al., Networks, 38 (2001), 194-198.]. However the statu...
Donglei Du, R. Chandrasekaran
NCA
2007
IEEE
13 years 11 months ago
Using evolution to improve neural network learning: pitfalls and solutions
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...
John A. Bullinaria
NCA
2007
IEEE
13 years 11 months ago
A data reduction approach for resolving the imbalanced data issue in functional genomics
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
Kihoon Yoon, Stephen Kwek
NCA
2007
IEEE
13 years 11 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
NCA
2007
IEEE
13 years 11 months ago
Safety management of complex technology
One of the key success factors behind the human species is the ability to think, plan and pursue goals. Apart from wisdom and tacit knowledge, experience and awareness of the phys...
Ali G. Hessami
NCA
2007
IEEE
13 years 11 months ago
A computational strategy exploiting genetic algorithms to recover color surface reflectance functions
—Information about the spectral reflectance of a color surface is useful in many applications. Assuming that reflectance functions can be adequately approximated by a linear comb...
Raimondo Schettini, Silvia Zuffi
NCA
2007
IEEE
13 years 11 months ago
Handling of incomplete data sets using ICA and SOM in data mining
Based on independent component analysis (ICA) and self-organizing maps (SOM), this paper proposes an ISOM-DH model for the incomplete data’s handling in data mining. Under these ...
Hongyi Peng, Siming Zhu
NETWORKS
2002
13 years 11 months ago
Light graphs with small routing cost
Bang Ye Wu, Kun-Mao Chao, Chuan Yi Tang
NETWORKS
2002
13 years 11 months ago
Shortest-path network interdiction
Eitan Israeli, R. Kevin Wood