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ICML
2004
IEEE
16 years 7 months ago
Robust feature induction for support vector machines
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
Rong Jin, Huan Liu
CGO
2009
IEEE
16 years 1 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
APVIS
2009
15 years 7 months ago
Interactive feature extraction and tracking by utilizing region coherency
The ability to extract and follow time-varying flow features in volume data generated from large-scale numerical simulations enables scientists to effectively see and validate mod...
Chris Muelder, Kwan-Liu Ma
AI
2004
Springer
15 years 6 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu
ERSA
2009
146views Hardware» more  ERSA 2009»
15 years 4 months ago
Programming Model and Low-level Language for a Coarse-Grained Reconfigurable Multimedia Processor
We present the architecture and programming model for MORA, a coarse-grained reconfigurable processor aimed at multimedia applications. The MORA architecure is a MIMD machine consi...
Wim Vanderbauwhede, Martin Margala, Sai Rahul Chal...