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» Magnitude-preserving ranking algorithms
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168
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BIBE
2008
IEEE
109views Bioinformatics» more  BIBE 2008»
16 years 23 days ago
Retrieval and ranking of biomedical images using boosted haar features
— Retrieving similar images from large repository of heterogeneous biomedical images has been a difficult research task. In this paper, we develop a retrieval system that uses H...
Chandan K. Reddy, Fahima A. Bhuyan
IWANN
2005
Springer
15 years 11 months ago
Heuristic Search over a Ranking for Feature Selection
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...
Roberto Ruiz, José Cristóbal Riquelm...
144
Voted
COLING
2008
15 years 7 months ago
Multilingual Assistant for Medical Diagnosing and Drug Prescription Based on Category Ranking
This paper presents a real-world application for assisting medical diagnosis and drug prescription, which relies on the exclusive use of machine learning techniques. We have autom...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...
148
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DMIN
2007
91views Data Mining» more  DMIN 2007»
15 years 7 months ago
Instance Ranking using Ensemble Spread
- This paper investigates a technique for predicting ensemble uncertainty originally proposed in the weather forecasting domain. The overall purpose is to find out if the technique...
Rikard König, Ulf Johansson, Lars Niklasson
SPEECH
1998
171views more  SPEECH 1998»
15 years 6 months ago
Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
Nagendra Kumar, Andreas G. Andreou