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» Optimized fixed-size kernel models for large data sets
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2003
ACM
14 years 1 months ago
Fast Parallel Non-Contiguous File Access
Many applications of parallel I/O perform non-contiguous file accesses: instead of accessing a single (large) block of data in a file, a number of (smaller) blocks of data scatt...
Joachim Worringen, Jesper Larsson Träff, Hube...
ICML
2004
IEEE
14 years 1 months ago
Gradient LASSO for feature selection
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
Yongdai Kim, Jinseog Kim
TASLP
2008
140views more  TASLP 2008»
13 years 8 months ago
Acoustic Chord Transcription and Key Extraction From Audio Using Key-Dependent HMMs Trained on Synthesized Audio
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
Kyogu Lee, Malcolm Slaney
VLDB
1992
ACM
151views Database» more  VLDB 1992»
14 years 15 days ago
Parallelism in a Main-Memory DBMS: The Performance of PRISMA/DB
This paper evaluates the performance of the parallel, main-memory DBMS, PRISMA/DB. First, an architecture for parallel query execution is presented. A performance model for the ex...
Annita N. Wilschut, Jan Flokstra, Peter M. G. Aper...
EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
14 years 10 days ago
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
Michal Lemczyk, Malcolm I. Heywood