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» Optimization on Support Vector Machines
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78
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MICRO
1997
IEEE
90views Hardware» more  MICRO 1997»
15 years 2 months ago
ProfileMe: Hardware Support for Instruction-Level Profiling on Out-of-Order Processors
Profile data is valuable for identifying performance bottlenecks and guiding optimizations. Periodic sampling of a processor's performance monitoring hardware is an effective...
Jeffrey Dean, James E. Hicks, Carl A. Waldspurger,...
CASES
2006
ACM
15 years 4 months ago
Supporting precise garbage collection in Java Bytecode-to-C ahead-of-time compiler for embedded systems
A Java bytecode-to-C ahead-of-time compiler (AOTC) can improve the performance of a Java virtual machine (JVM) by translating bytecode into C code, which is then compiled into mac...
Dong-Heon Jung, Sung-Hwan Bae, Jaemok Lee, Soo-Moo...
106
Voted
ICML
2009
IEEE
15 years 11 months ago
Online feature elicitation in interactive optimization
Most models of utility elicitation in decision support and interactive optimization assume a predefined set of "catalog" features over which user preferences are express...
Craig Boutilier, Kevin Regan, Paolo Viappiani
95
Voted
WISES
2003
15 years 8 days ago
Using a Java Optimized Processor in a Real World Application
— Java, a popular programming language on desktop systems, is rarely used in embedded systems. Some features of Java, like thread support in the language, could greatly simplify ...
Martin Schoeberl
93
Voted
IJCNN
2007
IEEE
15 years 5 months ago
Evaluation of Performance Measures for SVR Hyperparameter Selection
— To obtain accurate modeling results, it is of primal importance to find optimal values for the hyperparameters in the Support Vector Regression (SVR) model. In general, we sea...
Koen Smets, Brigitte Verdonk, Elsa Jordaan