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EUSFLAT
2003
13 years 11 months ago
Fuzzy models for prediction based on random set semantics
In this paper we propose a random set framework for learning linguistic models for prediction problems. We show how we can model prediction problems based on learning linguistic p...
Nicholas J. Randon, Jonathan Lawry
IDEAL
2000
Springer
14 years 1 months ago
Observational Learning with Modular Networks
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho
NIPS
2001
13 years 11 months ago
Active Learning in the Drug Discovery Process
We investigate the following data mining problem from Computational Chemistry: From a large data set of compounds, find those that bind to a target molecule in as few iterations o...
Manfred K. Warmuth, Gunnar Rätsch, Michael Ma...
CVPR
2008
IEEE
15 years 4 days ago
Clothing cosegmentation for recognizing people
Reseachers have verified that clothing provides information about the identity of the individual. To extract features from the clothing, the clothing region first must be localize...
Andrew C. Gallagher, Tsuhan Chen
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 4 months ago
Spatio-temporal Multi-dimensional Relational Framework Trees
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennel...