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» The Combining Classifier: To Train or Not to Train
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CF
2010
ACM
14 years 1 months ago
EXACT: explicit dynamic-branch prediction with active updates
Branches that depend directly or indirectly on load instructions are a leading cause of mispredictions by state-of-the-art branch predictors. For a branch of this type, there is a...
Muawya Al-Otoom, Elliott Forbes, Eric Rotenberg
IEEEPACT
1998
IEEE
14 years 26 days ago
Static Methods in Hybrid Branch Prediction
Hybrid branch predictors combine the predictions of multiple single-level or two-level branch predictors. The prediction-combining hardware -- the "meta-predictor" -may ...
Dirk Grunwald, Donald C. Lindsay, Benjamin G. Zorn
FGR
2008
IEEE
264views Biometrics» more  FGR 2008»
13 years 10 months ago
Large scale learning and recognition of faces in web videos
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
Ming Zhao 0003, Jay Yagnik, Hartwig Adam, David Ba...
TREC
2000
13 years 10 months ago
TREC-9 Cross Language, Web and Question-Answering Track Experiments using PIRCS
In TREC-9, we participated in the English-Chinese Cross Language, 10GB Web data ad-hoc retrieval as well as the Question-Answering tracks, all using automatic procedures. All thes...
Kui-Lam Kwok, Laszlo Grunfeld, Norbert Dinstl, M. ...
BMCBI
2010
118views more  BMCBI 2010»
13 years 8 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...