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DAWAK
2008
Springer
13 years 9 months ago
A Parameter-Free Associative Classification Method
In many application domains, classification tasks have to tackle multiclass imbalanced training sets. We have been looking for a CBA approach (Classification Based on Association r...
Loïc Cerf, Dominique Gay, Nazha Selmaoui, Jea...
CVPR
2010
IEEE
14 years 3 months ago
Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
Behjat Siddiquie, Abhinav Gupta
MCS
2004
Springer
14 years 26 days ago
An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems
The ECOC framework provides a powerful and popular method for solving multiclass problems using a multitude of binary classifiers. We had recently introduced the Binary Hierarchica...
Suju Rajan, Joydeep Ghosh
NIPS
1990
13 years 8 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro
CORR
2006
Springer
135views Education» more  CORR 2006»
13 years 7 months ago
Classification of Ordinal Data
Many real life problems require the classification of items into naturally ordered classes. These problems are traditionally handled by conventional methods intended for the class...
Jaime S. Cardoso