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» Boosting with structural sparsity
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PPOPP
2010
ACM
14 years 5 months ago
Scalable communication protocols for dynamic sparse data exchange
Many large-scale parallel programs follow a bulk synchronous parallel (BSP) structure with distinct computation and communication phases. Although the communication phase in such ...
Torsten Hoefler, Christian Siebert, Andrew Lumsdai...
ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
14 years 2 months ago
Accelerated Gradient Method for Multi-task Sparse Learning Problem
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...
IDEAS
1999
IEEE
175views Database» more  IDEAS 1999»
14 years 8 days ago
A Parallel Scalable Infrastructure for OLAP and Data Mining
Decision support systems are important in leveraging information present in data warehouses in businesses like banking, insurance, retail and health-care among many others. The mu...
Sanjay Goil, Alok N. Choudhary
STOC
1990
ACM
135views Algorithms» more  STOC 1990»
14 years 14 hour ago
A Separator Theorem for Graphs with an Excluded Minor and its Applications
ions (Extended Abstract) Noga Alon Paul Seymour Robin Thomas Let G be an n-vertex graph with nonnegative weights whose sum is 1 assigned to its vertices, and with no minor isomorp...
Noga Alon, Paul D. Seymour, Robin Thomas
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
13 years 10 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi