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113
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CORR
2010
Springer
228views Education» more  CORR 2010»
14 years 8 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
98
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SYNASC
2006
IEEE
106views Algorithms» more  SYNASC 2006»
15 years 4 months ago
A Quality Measure for Multi-Level Community Structure
Mining relational data often boils down to computing clusters, that is finding sub-communities of data elements forming cohesive sub-units, while being well separated from one an...
Maylis Delest, Jean-Marc Fedou, Guy Melanço...
189
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POPL
2007
ACM
15 years 10 months ago
Modular type classes
ML modules and Haskell type classes have proven to be highly effective tools for program structuring. Modules emphasize explicit configuration of program components and the use of...
Derek Dreyer, Robert Harper, Manuel M. T. Chakrava...
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
15 years 7 days ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
81
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IJFCS
2006
108views more  IJFCS 2006»
14 years 10 months ago
Reconstructing a Suffix Array
Abstract. For certain problems (for example, computing repetitions and repeats, data compression applications) it is not necessary that the suffixes of a string represented in a su...
Frantisek Franek, William F. Smyth