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HIS
2004
15 years 2 months ago
Hybrid Learning Scheme for Data Mining Applications
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
KDD
2009
ACM
257views Data Mining» more  KDD 2009»
15 years 8 months ago
Argo: intelligent advertising by mining a user's interest from his photo collections
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying...
GLOBECOM
2007
IEEE
15 years 7 months ago
GMPLS-Based Hybrid 1+N Link Protection Over p-Cycles: Design and Performance
—In [1], the author introduced a strategy to use network coding on p-Cycles in order to provide 1+N protection for straddling connections and links against single link failures i...
Ahmed E. Kamal
CEC
2010
IEEE
15 years 2 months ago
A hybrid genetic algorithm and inver over approach for the travelling salesman problem
This paper proposes a two-phase hybrid approach for the travelling salesman problem (TSP). The first phase is based on a sequence based genetic algorithm (SBGA) with an embedded lo...
Shakeel Arshad, Shengxiang Yang
BMCBI
2010
152views more  BMCBI 2010»
15 years 1 months ago
A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry
Background: High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflo...
Chongle Pan, Byung-Hoon Park, William H. McDonald,...