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» Relation Extraction Using Support Vector Machine
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ICALP
2010
Springer
15 years 8 months ago
Concurrent Knowledge Extraction in the Public-Key Model
Knowledge extraction is a fundamental notion, modeling machine possession of values (witnesses) in a computational complexity sense and enabling one to argue about the internal st...
Andrew C. Yao, Moti Yung, Yunlei Zhao
141
Voted
DEBU
2007
142views more  DEBU 2007»
15 years 3 months ago
Multi-lingual Indexing Support for CLIR using Language Modeling
An indexing model is the heart of an Information Retrieval (IR) system. Data structures such as term based inverted indices have proved to be very effective for IR using vector sp...
Prasad Pingali, Vasudeva Varma
ICIP
2010
IEEE
15 years 22 days ago
Natural DCT statistics approach to no-reference image quality assessment
General-purpose no-reference image quality assessment approaches still lag the advances in full-reference methods. Most no-reference methods are either distortion specific (i.e. t...
Michele A. Saad, Alan C. Bovik, Christophe Charrie...
159
Voted
BMCBI
2007
215views more  BMCBI 2007»
15 years 3 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
174
Voted
ESANN
2006
15 years 4 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...