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KDD
2006
ACM
122views Data Mining» more  KDD 2006»
15 years 10 months ago
Tensor-CUR decompositions for tensor-based data
Motivated by numerous applications in which the data may be modeled by a variable subscripted by three or more indices, we develop a tensor-based extension of the matrix CUR decom...
Michael W. Mahoney, Mauro Maggioni, Petros Drineas
ICPR
2000
IEEE
15 years 10 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
ICDM
2008
IEEE
141views Data Mining» more  ICDM 2008»
15 years 4 months ago
Scalable Tensor Decompositions for Multi-aspect Data Mining
Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts of data with multiple aspects and high dimensiona...
Tamara G. Kolda, Jimeng Sun
CSB
2005
IEEE
114views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Tree Decomposition Based Fast Search of RNA Structures Including Pseudoknots in Genomes
Searching genomes for RNA secondary structure with computational methods has become an important approach to the annotation of non-coding RNAs. However, due to the lack of effici...
Yinglei Song, Chunmei Liu, Russell L. Malmberg, Fa...
WEA
2010
Springer
289views Algorithms» more  WEA 2010»
15 years 4 months ago
Experiments with a Generic Dantzig-Wolfe Decomposition for Integer Programs
Abstract We report on experiments with turning the branch-price-andcut framework SCIP into a generic branch-price-and-cut solver. That is, given a mixed integer program (MIP), our ...
Gerald Gamrath, Marco E. Lübbecke