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ISMIS
2000
Springer
15 years 10 months ago
Design of Rough Neurons: Rough Set Foundation and Petri Net Model
This paper introduces the design of rough neurons based on rough sets. Rough neurons instantiate approximate reasoning in assessing knowledge gleaned from input data. Each neuron c...
James F. Peters, Andrzej Skowron, Zbigniew Suraj, ...
ASM
2008
ASM
15 years 8 months ago
Using EventB to Create a Virtual Machine Instruction Set Architecture
A Virtual Machine (VM) is a program running on a conventional microprocessor that emulates the binary instruction set, registers, and memory space of an idealized computing machine...
Stephen Wright
MASCOTS
2007
15 years 8 months ago
A Hierarchical Connected Dominating Set Based Clustering Algorithm for Mobile Ad Hoc Networks
— We propose a hierarchical Connected Dominating Set (CDS) based algorithm for clustering in Mobile Ad hoc Networks (MANETs). Our algorithm is an extension of our previous Connec...
Deniz Cokuslu, Kayhan Erciyes
SDL
2007
152views Hardware» more  SDL 2007»
15 years 8 months ago
TTCN-3 Quality Engineering: Using Learning Techniques to Evaluate Metric Sets
Software metrics are an essential means to assess software quality. For the assessment of software quality, typically sets of complementing metrics are used since individual metric...
Edith Werner, Jens Grabowski, Helmut Neukirchen, N...
FSKD
2008
Springer
174views Fuzzy Logic» more  FSKD 2008»
15 years 7 months ago
A Hybrid Re-sampling Method for SVM Learning from Imbalanced Data Sets
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
Peng Li, Pei-Li Qiao, Yuan-Chao Liu