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NCA
2007
IEEE
9 years 2 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
9 years 2 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
9 years 2 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
9 years 2 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
9 years 2 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
9 years 2 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
NCA
2007
IEEE
9 years 8 months ago
Towards IQ-Appliances: Quality-awareness in Information Virtualization
Our research addresses two important problems that arise in modern large-scale distributed systems: (1) the necessity to virtualize their data flows by applying actions such as ...
Radhika Niranjan, Ada Gavrilovska, Karsten Schwan,...
NCA
2007
IEEE
9 years 8 months ago
Discovering Web Workload Characteristics through Cluster Analysis
In this paper we present clustering analysis of sessionbased Web workloads of eight Web servers using the intrasession characteristics (i.e., number of requests per session, sessi...
Fengbin Li, Katerina Goseva-Popstojanova, Arun Ros...
NCA
2007
IEEE
9 years 8 months ago
Transparent Reliable Multicast for Ethernet-Based Storage Area Networks
As disk storage density increases and data availability requirements become ever more demanding, data replication is increasingly an indispensable feature of enterprise-class stor...
Shibiao Lin, Maohua Lu, Tzi-cker Chiueh
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