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ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
13 years 5 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
CORR
2010
Springer
132views Education» more  CORR 2010»
13 years 7 months ago
Performance of Interference Alignment in Clustered Wireless Ad Hoc Networks
Abstract--Spatial interference alignment among a finite number of users is investigated as a technique to increase the probability of successful transmission in an interference lim...
Roland Tresch, Maxime Guillaud
BMCBI
2010
106views more  BMCBI 2010»
13 years 7 months ago
Multiple structure alignment and consensus identification for proteins
Background: An algorithm is presented to compute a multiple structure alignment for a set of proteins and to generate a consensus (pseudo) protein which captures common substructu...
Ivaylo Ilinkin, Jieping Ye, Ravi Janardan
RECOMB
2003
Springer
14 years 8 months ago
Accurate detection of very sparse sequence motifs
Protein sequence alignments are more reliable the shorter the evolutionary distance. Here, we align distantly related proteins using many closely spaced intermediate sequences as ...
Andreas Heger, Michael Lappe, Liisa Holm
ICPP
2003
IEEE
14 years 29 days ago
FastLSA: A Fast, Linear-Space, Parallel and Sequential Algorithm for Sequence Alignment
Pairwise sequence alignment is a fundamental operation for homology search in bioinformatics. For two DNA or protein sequences of length ¢ and £ , full-matrix (FM), dynamic prog...
Adrian Driga, Paul Lu, Jonathan Schaeffer, Duane S...