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» An Overview of Associative Classifiers
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IDEAS
2007
IEEE
71views Database» more  IDEAS 2007»
15 years 4 months ago
Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification
Feature Space Conversion for classifiers is the process by which the data that is to be fed into the classifier is transformed from one form to another. The motivation behind doin...
Abhishek Srivastava, Osmar R. Zaïane, Maria-L...
ICML
2006
IEEE
15 years 10 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor
JMLR
2010
161views more  JMLR 2010»
14 years 4 months ago
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option
Data extracted from microarrays are now considered an important source of knowledge about various diseases. Several studies based on microarray data and the use of receiver operat...
Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Bla...
COMSUR
2011
201views Hardware» more  COMSUR 2011»
13 years 9 months ago
Vehicular Networking: A Survey and Tutorial on Requirements, Architectures, Challenges, Standards and Solutions
— Vehicular networking has significant potential to enable diverse applications associated with traffic safety, traffic efficiency and infotainment. In this survey and tutorial p...
Georgios Karagiannis, Onur Altintas, Eylem Ekici, ...
SMI
2008
IEEE
154views Image Analysis» more  SMI 2008»
15 years 4 months ago
SHREC'08 entry: Training set expansion via autotags
Training a 3D model classifier on a small dataset is very challenging. However, large datasets of partially classified models are now commonly available online. We use an external...
Corey Goldfeder, Haoyun Feng, Peter K. Allen