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SIGCSE
2009
ACM
94views Education» more  SIGCSE 2009»
16 years 3 months ago
CS1 students speak: advice for students by students
We collected advice on how to succeed at learning to program from 164 CS1 students at 3 institutions during a "saying is believing"intervention designed to encourage a g...
Beth Simon, Brian Hanks, Carol Zander, Laurie Murp...
106
Voted
HPCA
2009
IEEE
16 years 3 months ago
Voltage emergency prediction: Using signatures to reduce operating margins
Inductive noise forces microprocessor designers to sacrifice performance in order to ensure correct and reliable operation of their designs. The possibility of wide fluctuations i...
Vijay Janapa Reddi, Meeta Sharma Gupta, Glenn H. H...
147
Voted
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
16 years 3 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
113
Voted
KDD
2005
ACM
112views Data Mining» more  KDD 2005»
16 years 3 months ago
Model-based overlapping clustering
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh,...
118
Voted
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
16 years 3 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li