Tuning High Performance Kernels through Empirical Compilation.
R. Clint WhaleyDavid B. WhalleyPublished in: ICPP (2005)
Keyphrases
- kernel function
- kernel methods
- theoretical analysis
- scientific computing
- machine learning
- cost effective
- small sized
- multiple kernel
- gaussian kernels
- feature space
- linear combination
- support vector machine
- parameter settings
- multiple kernel learning
- special case
- empirical data
- high reliability
- support vector
- fine tune
- information systems
- information retrieval