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» Optimized fixed-size kernel models for large data sets
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2003
ACM
15 years 8 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
15 years 8 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»
15 years 2 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»
15 years 7 months 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»
15 years 6 months 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