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» Predicting relative performance of classifiers from samples
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SDM
2008
SIAM
157views Data Mining» more  SDM 2008»
13 years 9 months ago
ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
TITB
2008
136views more  TITB 2008»
13 years 7 months ago
Helicobacter Pylori-Related Gastric Histology Classification Using Support-Vector-Machine-Based Feature Selection
Abstract--This study presents a computer-aided diagnosis system using sequential forward floating selection (SFFS) with support vector machine (SVM) to diagnose gastric histology o...
Chun-Rong Huang, Pau-Choo Chung, Bor-Shyang Sheu, ...
ICIP
2010
IEEE
13 years 5 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao
CIKM
2006
Springer
13 years 11 months ago
Multi-evidence, multi-criteria, lazy associative document classification
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
ICIP
2009
IEEE
13 years 5 months ago
Classified patch learning for spatially scalable video coding
This paper proposes an advanced spatially scalable video coding approach that exploits the inter layer correlation between different resolution layers by classified patch learning...
Xiaoyan Sun, Feng Wu