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» Probabilistic topic modeling for genomic data interpretation
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ICML
2005
IEEE
15 years 10 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani
RECOMB
2001
Springer
15 years 1 months ago
Extracting structural information using time-frequency analysis of protein NMR data
High-throughput, data-directed computational protocols for Structural Genomics (or Proteomics) are required in order to evaluate the protein products of genes for structure and fu...
Christopher James Langmead, Bruce Randall Donald
89
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Group testing meets traitor tracing
This paper links two a priori different topics, group testing and traitor tracing. Group testing, as an instantiation of a compressed sensing problem over binary data, is indeed e...
Peter Meerwald, Teddy Furon
82
Voted
SIGIR
2010
ACM
14 years 7 months ago
DivQ: diversification for keyword search over structured databases
Keyword queries over structured databases are notoriously ambiguous. No single interpretation of a keyword query can satisfy all users, and multiple interpretations may yield over...
Elena Demidova, Peter Fankhauser, Xuan Zhou, Wolfg...
ICDM
2009
IEEE
188views Data Mining» more  ICDM 2009»
14 years 7 months ago
Binomial Matrix Factorization for Discrete Collaborative Filtering
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...
Jinlong Wu