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» Performance Model Building of Pervasive Computing
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CVPR
2004
IEEE
14 years 9 months ago
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
BMCBI
2006
146views more  BMCBI 2006»
13 years 7 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
HPCA
1996
IEEE
13 years 11 months ago
A Comparison of Entry Consistency and Lazy Release Consistency Implementations
This paper compares several implementations of entry consistency (EC) and lazy release consistency (LRC), two relaxed memory models in use with software distributed shared memory ...
Sarita V. Adve, Alan L. Cox, Sandhya Dwarkadas, Ra...
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 8 months ago
User grouping behavior in online forums
Online forums represent one type of social media that is particularly rich for studying human behavior in information seeking and diffusing. The way users join communities is a re...
Xiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang
RTSS
2007
IEEE
14 years 1 months ago
ANDES: An ANalysis-Based DEsign Tool for Wireless Sensor Networks
— We have developed an analysis-based design tool, ANDES, for modeling a wireless sensor network system and analyzing its performance before deployment. ANDES enables designers t...
Vibha Prasad, Ting Yan, Praveen Jayachandran, Zeng...