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» Optimizing Designs based on Risk Approach
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IJON
2006
146views more  IJON 2006»
14 years 9 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
TCOM
2010
115views more  TCOM 2010»
14 years 8 months ago
QoS Analysis of a Scheduling Policy for Heterogeneous Users Employing AMC Jointly with ARQ
—This paper analyzes the quality of service (QoS) of scheduling algorithms for heterogeneous users in multiuser (MU) wireless systems that take advantage from a crosslayer design...
Mario Poggioni, Luca Rugini, Paolo Banelli
IM
2007
14 years 11 months ago
Estimating End-to-End Performance by Collaborative Prediction with Active Sampling
— Accurately estimating end-to-end performance in distributed systems is essential both for monitoring compliance with service-level agreements (SLAs) and for performance optimiz...
Irina Rish, Gerald Tesauro
COR
2008
142views more  COR 2008»
14 years 9 months ago
Modeling and solving the rooted distance-constrained minimum spanning tree problem
In this paper we discuss models and methods for solving the rooted distance constrained minimum spanning tree problem which is defined as follows: given a graph G = (V, E) with no...
Luis Gouveia, Ana Paias, Dushyant Sharma
IPPS
2008
IEEE
15 years 4 months ago
SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
David A. Bader, Kamesh Madduri