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CORR
2010
Springer
228views Education» more  CORR 2010»
15 years 5 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
VLDB
2005
ACM
85views Database» more  VLDB 2005»
16 years 23 hour ago
Inspector Joins
The key idea behind Inspector Joins is that during the I/O partitioning phase of a hash-based join, we have the opportunity to look at the actual data itself and then use this kno...
Shimin Chen, Anastassia Ailamaki, Phillip B. Gibbo...
IFL
1997
Springer
136views Formal Methods» more  IFL 1997»
15 years 10 months ago
Fully Persistent Graphs - Which One To Choose?
Functional programs, by nature, operate on functional, or persistent, data structures. Therefore, persistent graphs are a prerequisite to express functional graph algorithms. In th...
Martin Erwig
DMIN
2007
203views Data Mining» more  DMIN 2007»
15 years 8 months ago
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
Lauren Burrell, Otis Smart, George J. Georgoulas, ...
SDM
2007
SIAM
117views Data Mining» more  SDM 2007»
15 years 8 months ago
Discriminating Subsequence Discovery for Sequence Clustering
In this paper, we explore the discriminating subsequencebased clustering problem. First, several effective optimization techniques are proposed to accelerate the sequence mining p...
Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Ka...