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» Feature selection for ranking using boosted trees
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CSB
2004
IEEE
149views Bioinformatics» more  CSB 2004»
15 years 3 months ago
Weighting Features to Recognize 3D Patterns of Electron Density in X-Ray Protein Crystallography
Feature selection and weighting are central problems in pattern recognition and instance-based learning. In this work, we discuss the challenges of constructing and weighting feat...
Kreshna Gopal, Tod D. Romo, James C. Sacchettini, ...
AIME
2009
Springer
15 years 3 months ago
The Role of Biomedical Dataset in Classification
In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. We quantify the complexity of a biomedical dataset using five complex...
Ajay Kumar Tanwani, Muddassar Farooq
ICMCS
2006
IEEE
145views Multimedia» more  ICMCS 2006»
15 years 5 months ago
A New Study on Distance Metrics as Similarity Measurement
Distance metric is widely used in similarity estimation. In this paper we find that the most popular Euclidean and Manhattan distance may not be suitable for all data distribution...
Jie Yu, Jaume Amores, Nicu Sebe, Qi Tian
ICASSP
2008
IEEE
15 years 6 months ago
Detecting mild cognitive loss with continuous monitoring of medication adherence
This paper describes an approach for detecting early cognitive loss using medication adherence behavior. We investigate the discriminative power of a comprehensive set of recurren...
Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd...
BIBE
2005
IEEE
15 years 5 months ago
Diagnostic Rules Induced by an Ensemble Method for Childhood Leukemia
We introduce a new ensemble method based on decision tree to discover significant and diversified rules for subtype classification of childhood acute lymphoblastic leukemia, a ...
Jinyan Li, Huiqing Liu, Ling Li