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» Dynamically Adapting Kernels in Support Vector Machines
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129
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CACM
2010
140views more  CACM 2010»
15 years 1 months ago
FastTrack: efficient and precise dynamic race detection
Multithreaded programs are notoriously prone to race conditions. Prior work on dynamic race detectors includes fast but imprecise race detectors that report false alarms, as well ...
Cormac Flanagan, Stephen N. Freund
184
Voted
HPDC
2012
IEEE
13 years 6 months ago
Dynamic adaptive virtual core mapping to improve power, energy, and performance in multi-socket multicores
Consider a multithreaded parallel application running inside a multicore virtual machine context that is itself hosted on a multi-socket multicore physical machine. How should the...
Chang Bae, Lei Xia, Peter A. Dinda, John R. Lange
146
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IVC
2006
187views more  IVC 2006»
15 years 3 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
148
Voted
ICML
2008
IEEE
16 years 4 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
173
Voted
BMCBI
2011
14 years 7 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...