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JMLR
2010
195views more  JMLR 2010»
15 years 5 months ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
BMCBI
2002
126views more  BMCBI 2002»
15 years 6 months ago
RIO: Analyzing proteomes by automated phylogenomics using resampled inference of orthologs
Background: When analyzing protein sequences using sequence similarity searches, orthologous sequences (that diverged by speciation) are more reliable predictors of a new protein&...
Christian M. Zmasek, Sean R. Eddy
BMCBI
2005
152views more  BMCBI 2005»
15 years 6 months ago
Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
Markus Wistrand, Erik L. L. Sonnhammer
KDD
2000
ACM
211views Data Mining» more  KDD 2000»
15 years 10 months ago
Mining IC test data to optimize VLSI testing
We describe an application of data mining and decision analysis to the problem of die-level functional test in integrated circuit manufacturing. Integrated circuits are fabricated...
Tony Fountain, Thomas G. Dietterich, Bill Sudyka
IADT
1998
149views more  IADT 1998»
15 years 7 months ago
Transparent Integration of Continuous Media Support into a Multimedia DBMS
Multimedia Database Management Systems (MMDBMS) have to efficiently provide the specific functionalities required by time-dependent multimedia data types. During presentation play...
Silvia Hollfelder, Florian Schmidt, Matthias Hemmj...