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CVPR
2009
IEEE
16 years 5 months ago
Active Learning for Large Multi-class Problems
Scarcity and infeasibility of human supervision for large scale multi-class classification problems necessitates active learning. Unfortunately, existing active learning methods ...
Prateek Jain (University of Texas at Austin), Ashi...
NIPS
1990
14 years 11 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
74
Voted
BMCBI
2005
107views more  BMCBI 2005»
14 years 10 months ago
An edit script for taxonomic classifications
Abstract. Taxonomy provides one of the most powerful ways to navigate sequence data bases but currently, users are forced to formulate queries according to a single taxonomic class...
Roderic D. M. Page, Gabriel Valiente
DIS
2008
Springer
15 years 9 days ago
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees
Decision trees are among the most effective and interpretable classification algorithms while ensembles techniques have been proven to alleviate problems regarding over-fitting and...
Albrecht Zimmermann
VLDB
1998
ACM
95views Database» more  VLDB 1998»
15 years 2 months ago
RainForest - A Framework for Fast Decision Tree Construction of Large Datasets
Classification of large datasets is an important data mining problem. Many classification algorithms have been proposed in the literature, but studies have shown that so far no al...
Johannes Gehrke, Raghu Ramakrishnan, Venkatesh Gan...