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» Scaling Clustering Algorithms to Large Databases
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BMCBI
2010
132views more  BMCBI 2010»
15 years 1 months ago
Data structures and compression algorithms for high-throughput sequencing technologies
Background: High-throughput sequencing (HTS) technologies play important roles in the life sciences by allowing the rapid parallel sequencing of very large numbers of relatively s...
Kenny Daily, Paul Rigor, Scott Christley, Xiaohui ...
ICML
2009
IEEE
16 years 2 months ago
More generality in efficient multiple kernel learning
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient desce...
Manik Varma, Bodla Rakesh Babu
CSB
2003
IEEE
121views Bioinformatics» more  CSB 2003»
15 years 7 months ago
Epitope Prediction Algorithms for Peptide based Vaccine Design
Peptide-based vaccines, in which small peptides derived from target proteins (epitopes) are used to provoke an immune reaction, have attracted considerable attention recently as a...
Liliana Florea, Bjarni V. Halldórsson, Oliv...
ICDE
2007
IEEE
134views Database» more  ICDE 2007»
16 years 3 months ago
Efficient Top-k Query Evaluation on Probabilistic Data
Modern enterprise applications are forced to deal with unreliable, inconsistent and imprecise information. Probabilistic databases can model such data naturally, but SQL query eva...
Christopher Re, Nilesh N. Dalvi, Dan Suciu
PVLDB
2010
136views more  PVLDB 2010»
15 years 2 days ago
SigMatch: Fast and Scalable Multi-Pattern Matching
Multi-pattern matching involves matching a data item against a large database of “signature” patterns. Existing algorithms for multipattern matching do not scale well as the s...
Ramakrishnan Kandhan, Nikhil Teletia, Jignesh M. P...