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CORR
2011
Springer
261views Education» more  CORR 2011»
14 years 11 months ago
Convex and Network Flow Optimization for Structured Sparsity
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
CP
2005
Springer
15 years 9 months ago
Approximations in Distributed Optimization
Abstract. We present a parameterized approximation scheme for distributed combinatorial optimization problems based on dynamic programming. The algorithm is a utility propagation m...
Adrian Petcu, Boi Faltings
SIGMOD
2009
ACM
235views Database» more  SIGMOD 2009»
16 years 4 months ago
Quality and efficiency in high dimensional nearest neighbor search
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
Yufei Tao, Ke Yi, Cheng Sheng, Panos Kalnis
VLDB
2005
ACM
134views Database» more  VLDB 2005»
15 years 9 months ago
MDL Summarization with Holes
Summarization of query results is an important problem for many OLAP applications. The Minimum Description Length principle has been applied in various studies to provide summarie...
Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng
MP
2002
143views more  MP 2002»
15 years 3 months ago
Extending Dantzig's bound to the bounded multiple-class binary Knapsack problem
The bounded multiple-class binary knapsack problem is a variant of the knapsack problem where the items are partitioned into classes and the item weights in each class are a multip...
François Vanderbeck