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» Accelerating Large Data Analysis by Exploiting Regularities
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VEE
2012
ACM
252views Virtualization» more  VEE 2012»
12 years 2 months ago
libdft: practical dynamic data flow tracking for commodity systems
Dynamic data flow tracking (DFT) deals with tagging and tracking data of interest as they propagate during program execution. DFT has been repeatedly implemented by a variety of ...
Vasileios P. Kemerlis, Georgios Portokalidis, Kang...
BIBM
2008
IEEE
125views Bioinformatics» more  BIBM 2008»
13 years 8 months ago
On the Role of Local Matching for Efficient Semi-supervised Protein Sequence Classification
Recent studies in protein sequence analysis have leveraged the power of unlabeled data. For example, the profile and mismatch neighborhood kernels have shown significant improveme...
Pavel P. Kuksa, Pai-Hsi Huang, Vladimir Pavlovic
EON
2007
13 years 8 months ago
Characterizing Knowledge on the Semantic Web with Watson
Abstract. Watson is a gateway to the Semantic Web: it collects, analyzes and gives access to ontologies and semantic data available online with the objective of supporting their dy...
Mathieu d'Aquin, Claudio Baldassarre, Laurian Grid...
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 9 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
MOBICOM
2006
ACM
14 years 22 days ago
Analysis and implications of student contact patterns derived from campus schedules
Characterizing mobility or contact patterns in a campus environment is of interest for a variety of reasons. Existing studies of these patterns can be classified into two basic a...
Vikram Srinivasan, Mehul Motani, Wei Tsang Ooi