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» Learning Rules from Distributed Data
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NIPS
2003
15 years 4 months ago
Semi-Supervised Learning with Trees
We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure ...
Charles Kemp, Thomas L. Griffiths, Sean Stromsten,...
KDD
2009
ACM
175views Data Mining» more  KDD 2009»
15 years 7 months ago
Multi-class protein fold recognition using large margin logic based divide and conquer learning
Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
Huma Lodhi, Stephen Muggleton, Michael J. E. Stern...
IPMI
2011
Springer
14 years 6 months ago
Learning an Atlas of a Cognitive Process in Its Functional Geometry
In this paper we construct an atlas that captures functional characteristics of a cognitive process from a population of individuals. The functional connectivity is encoded in a lo...
Georg Langs, Danial Lashkari, Andrew Sweet, Yanmei...
HICSS
2000
IEEE
169views Biometrics» more  HICSS 2000»
15 years 7 months ago
A Software System for Spatial Data Analysis and Modeling
Advances in geographical information systems (GIS) and supporting data collection technology has resulted in the rapid collection of a huge amount of spatial data. However, known ...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
TSP
2011
90views more  TSP 2011»
14 years 10 months ago
Radar HRRP Statistical Recognition With Local Factor Analysis by Automatic Bayesian Ying-Yang Harmony Learning
—Radar high-resolution range profiles (HRRPs) are typical high-dimensional, non-Gaussian and interdimension dependently distributed data, the statistical modelling of which is a...
Lei Shi, Penghui Wang, Hongwei Liu, Lei Xu, Zheng ...