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» Effective, Automatic Procedure Extraction
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TDSC
2010
172views more  TDSC 2010»
14 years 4 months ago
Proactive Detection of Computer Worms Using Model Checking
Although recent estimates are speaking of 200,000 different viruses, worms, and Trojan horses, the majority of them are variants of previously existing malware. As these variants m...
Johannes Kinder, Stefan Katzenbeisser, Christian S...
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
BMCBI
2008
123views more  BMCBI 2008»
14 years 10 months ago
Statistical methodology for the analysis of dye-switch microarray experiments
Background: In individually dye-balanced microarray designs, each biological sample is hybridized on two different slides, once with Cy3 and once with Cy5. While this strategy ens...
Tristan Mary-Huard, Julie Aubert, Nadera Mansouri-...
WWW
2002
ACM
15 years 10 months ago
Searching with numbers
A large fraction of the useful web comprises of specification documents that largely consist of hattribute name, numeric valuei pairs embedded in text. Examples include product in...
Rakesh Agrawal, Ramakrishnan Srikant
ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
15 years 2 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano