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» Large Margin Classification Using the Perceptron Algorithm
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DAC
1997
ACM
13 years 12 months ago
Multilevel Hypergraph Partitioning: Application in VLSI Domain
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel paradigm. In the multilevel paradigm, a sequence of successively coarser hypergra...
George Karypis, Rajat Aggarwal, Vipin Kumar, Shash...
GLOBECOM
2009
IEEE
13 years 11 months ago
Energy-Efficient Multi-Pipeline Architecture for Terabit Packet Classification
Energy efficiency has become a critical concern in designing high speed packet classification engines for next generation routers. Although TCAM-based solutions can provide high th...
Weirong Jiang, Viktor K. Prasanna
BMCBI
2008
186views more  BMCBI 2008»
13 years 7 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
ICDE
2007
IEEE
182views Database» more  ICDE 2007»
14 years 9 months ago
Discriminative Frequent Pattern Analysis for Effective Classification
The application of frequent patterns in classification appeared in sporadic studies and achieved initial success in the classification of relational data, text documents and graph...
Hong Cheng, Xifeng Yan, Jiawei Han, Chih-Wei Hsu
JCB
2002
70views more  JCB 2002»
13 years 7 months ago
Strong Feature Sets from Small Samples
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...