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» Computing LTS Regression for Large Data Sets
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ICCS
2004
Springer
14 years 2 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...
EDCC
2008
Springer
13 years 11 months ago
SONDe, a Self-Organizing Object Deployment Algorithm in Large-Scale Dynamic Systems
We present the design, correctness, and analysis of SONDe, a simple fully decentralized object deployment algorithm for highly requested systems. Given an object (service or data)...
Vincent Gramoli, Anne-Marie Kermarrec, Erwan Le Me...
COLING
2010
13 years 4 months ago
Enhancing Cross Document Coreference of Web Documents with Context Similarity and Very Large Scale Text Categorization
Cross Document Coreference (CDC) is the task of constructing the coreference chain for mentions of a person across a set of documents. This work offers a holistic view of using do...
Jian Huang 0002, Pucktada Treeratpituk, Sarah M. T...
VLDB
2007
ACM
149views Database» more  VLDB 2007»
14 years 3 months ago
Probabilistic Skylines on Uncertain Data
Uncertain data are inherent in some important applications. Although a considerable amount of research has been dedicated to modeling uncertain data and answering some types of qu...
Jian Pei, Bin Jiang, Xuemin Lin, Yidong Yuan
ICPR
2000
IEEE
14 years 1 months ago
Scaling-Up Support Vector Machines Using Boosting Algorithm
In the recent years support vector machines (SVMs) have been successfully applied to solve a large number of classification problems. Training an SVM, usually posed as a quadrati...
Dmitry Pavlov, Jianchang Mao, Byron Dom