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SIAMJO
2010
83views more  SIAMJO 2010»
15 years 5 months ago
The Lifted Newton Method and Its Application in Optimization
Abstract. We present a new “lifting” approach for the solution of nonlinear optimization problems (NLPs) that have objective and constraint functions with intermediate variable...
Jan Albersmeyer, Moritz Diehl
PR
2008
129views more  PR 2008»
15 years 6 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
PODS
2002
ACM
138views Database» more  PODS 2002»
16 years 6 months ago
Fast Algorithms For Hierarchical Range Histogram Construction
Data Warehousing and OLAPapplications typically view data as having multiple logical dimensions e.g., product, location with natural hierarchies de ned on each dimension. OLAP que...
Sudipto Guha, Nick Koudas, Divesh Srivastava
KDD
2010
ACM
223views Data Mining» more  KDD 2010»
15 years 8 months ago
An efficient algorithm for a class of fused lasso problems
The fused Lasso penalty enforces sparsity in both the coefficients and their successive differences, which is desirable for applications with features ordered in some meaningful w...
Jun Liu, Lei Yuan, Jieping Ye
MOBIHOC
2007
ACM
16 years 6 months ago
Distributed opportunistic scheduling for ad-hoc communications: an optimal stopping approach
We consider distributed opportunistic scheduling (DOS) in wireless ad-hoc networks, where many links contend for the same channel using random access. In such networks, distribute...
Dong Zheng, Weiyan Ge, Junshan Zhang