Sciweavers

1083 search results - page 81 / 217
» Efficient Discovery of Confounders in Large Data Sets
Sort
View
CORR
2010
Springer
279views Education» more  CORR 2010»
15 years 6 months ago
Mining Frequent Itemsets Using Genetic Algorithm
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
Soumadip Ghosh, Sushanta Biswas, Debasree Sarkar, ...
BMCBI
2011
14 years 10 months ago
Proteinortho: Detection of (Co-)Orthologs in Large-Scale Analysis
Background: Orthology analysis is an important part of data analysis in many areas of bioinformatics such as comparative genomics and molecular phylogenetics. The ever-increasing ...
Marcus Lechner, Sven Findeiß, Lydia Steiner,...
ICCS
2004
Springer
15 years 11 months ago
Chunking-Coordinated-Synthetic Approaches to Large-Scale Kernel Machines
We consider a kernel-based approach to nonlinear classification that coordinates the generation of “synthetic” points (to be used in the kernel) with “chunking” (working wi...
Francisco J. González-Castaño, Rober...
MASCOTS
2001
15 years 7 months ago
Large-Scale Simulation of Replica Placement Algorithms for a Serverless Distributed File System
Farsite is a scalable, distributed file system that logically functions as a centralized file server but that is physically implemented on a set of client desktop computers. Farsi...
John R. Douceur, Roger Wattenhofer
JMLR
2006
156views more  JMLR 2006»
15 years 6 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...