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» Multiple Comparisons in Induction Algorithms
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KDD
2008
ACM
148views Data Mining» more  KDD 2008»
16 years 4 days ago
Get another label? improving data quality and data mining using multiple, noisy labelers
This paper addresses the repeated acquisition of labels for data items when the labeling is imperfect. We examine the improvement (or lack thereof) in data quality via repeated la...
Victor S. Sheng, Foster J. Provost, Panagiotis G. ...
87
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TKDE
2010
182views more  TKDE 2010»
14 years 10 months ago
MILD: Multiple-Instance Learning via Disambiguation
In multiple-instance learning (MIL), an individual example is called an instance and a bag contains a single or multiple instances. The class labels available in the training set ...
Wu-Jun Li, Dit-Yan Yeung
MIR
2005
ACM
140views Multimedia» more  MIR 2005»
15 years 5 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...
DICTA
2003
15 years 1 months ago
Face Recognition Based on Multiple Region Features
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
Jiaming Li, Geoff Poulton, Ying Guo, Rong-yu Qiao
ICASSP
2011
IEEE
14 years 3 months ago
Iterative estimation of structures of multiple RNA homologs: Turbofold
TurboFold, an iterative algorithm for estimating the common secondary structures of multiple RNA homologs, is presented. The algorithm is motivated by and has structure and attrib...
Gaurav Sharma, Arif Ozgun Harmanci, David H. Mathe...