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» Modeling High-Dimensional Data by Combining Simple Experts
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MICCAI
2003
Springer
15 years 10 months ago
Extraction and Application of Expert Priors to Combine Multiple Segmentations of Human Brain Tissue
Abstract. This paper evaluates strategies to combine multiple segmentations of the same image, generated for example by different segmentation methods or by different human experts...
Torsten Rohlfing, Daniel B. Russakoff, Calvin R. M...
85
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ECAI
2004
Springer
15 years 3 months ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic
BMCBI
2007
149views more  BMCBI 2007»
14 years 9 months ago
Novel and simple transformation algorithm for combining microarray data sets
Background: With microarray technology, variability in experimental environments such as RNA sources, microarray production, or the use of different platforms, can cause bias. Suc...
Ki-Yeol Kim, Dong Hyuk Ki, Ha Jin Jeong, Hei-Cheul...
ICDM
2008
IEEE
148views Data Mining» more  ICDM 2008»
15 years 4 months ago
Formal Models for Expert Finding on DBLP Bibliography Data
Finding relevant experts in a specific field is often crucial for consulting, both in industry and in academia. The aim of this paper is to address the expert-finding task in a...
Hongbo Deng, Irwin King, Michael R. Lyu
HICSS
2000
IEEE
169views Biometrics» more  HICSS 2000»
15 years 2 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