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KDD
2006
ACM
149views Data Mining» more  KDD 2006»
16 years 7 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
166
Voted
CHI
2008
ACM
16 years 7 months ago
Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis
Although both statistical methods and visualizations have been used by network analysts, exploratory data analysis remains a challenge. We propose that a tight integration of thes...
Adam Perer, Ben Shneiderman
CHI
2008
ACM
16 years 7 months ago
Rapid image analysis using neural signals
The problem of extracting information from large collections of imagery is a challenge with few good solutions. Computers typically cannot interpret imagery as effectively as huma...
Santosh Mathan, Deniz Erdogmus, Yonghong Huang, Mi...
176
Voted
CSCW
2010
ACM
16 years 3 months ago
Social language network analysis
In this note we introduce a new methodology that combines tools from social language processing and network analysis to identify socially situated relationships between individual...
Andrew J. Scholand, Yla R. Tausczik, James W. Penn...
257
Voted
PLDI
2009
ACM
16 years 1 months ago
A randomized dynamic program analysis technique for detecting real deadlocks
We present a novel dynamic analysis technique that finds real deadlocks in multi-threaded programs. Our technique runs in two stages. In the first stage, we use an imprecise dyn...
Pallavi Joshi, Chang-Seo Park, Koushik Sen, Mayur ...