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» Informative sampling for large unbalanced data sets
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135
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SADM
2010
128views more  SADM 2010»
15 years 2 months ago
Online training on a budget of support vector machines using twin prototypes
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
Zhuang Wang, Slobodan Vucetic
150
Voted
ESANN
2006
15 years 5 months ago
Magnification control for batch neural gas
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
Barbara Hammer, Alexander Hasenfuss, Thomas Villma...
138
Voted
SIGIR
2010
ACM
15 years 7 months ago
Context-aware ranking in web search
The context of a search query often provides a search engine meaningful hints for answering the current query better. Previous studies on context-aware search were either focused ...
Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, En...
115
Voted
ISCA
2005
IEEE
99views Hardware» more  ISCA 2005»
15 years 9 months ago
Improving Multiprocessor Performance with Coarse-Grain Coherence Tracking
To maintain coherence in conventional shared-memory multiprocessor systems, processors first check other processors’ caches before obtaining data from memory. This coherence che...
Jason F. Cantin, Mikko H. Lipasti, James E. Smith
110
Voted
BMCBI
2005
88views more  BMCBI 2005»
15 years 3 months ago
Analysis of concordance of different haplotype block partitioning algorithms
Background: Different classes of haplotype block algorithms exist and the ideal dataset to assess their performance would be to comprehensively re-sequence a large genomic region ...
Amit R. Indap, Gabor T. Marth, Craig A. Struble, P...