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TIP
2008
128views more  TIP 2008»
15 years 17 days ago
Wavelet Frame Accelerated Reduced Support Vector Machines
In this paper, a novel method for reducing the runtime complexity of a support vector machine classifier is presented. The new training algorithm is fast and simple. This is achiev...
Matthias Rätsch, Gerd Teschke, Sami Romdhani,...
PRL
2008
118views more  PRL 2008»
15 years 5 days ago
Bayes Machines for binary classification
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
Daniel Hernández-Lobato, José Miguel...
ICML
2009
IEEE
16 years 1 months ago
A least squares formulation for a class of generalized eigenvalue problems in machine learning
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
Liang Sun, Shuiwang Ji, Jieping Ye
97
Voted
OSDI
2004
ACM
16 years 29 days ago
Unmodified Device Driver Reuse and Improved System Dependability via Virtual Machines
We propose a method to reuse unmodified device drivers and to improve system dependability using virtual machines. We run the unmodified device driver, with its original operating...
Jan Stoess, Joshua LeVasseur, Stefan Götz, Vo...
104
Voted
ITC
1999
IEEE
105views Hardware» more  ITC 1999»
15 years 5 months ago
Finite state machine synthesis with concurrent error detection
A new synthesis technique for designing finite state machines with on-line parity checking is presented. The output logic and the next-state logic of the finite state machines are...
Chaohuang Zeng, Nirmal R. Saxena, Edward J. McClus...