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IJON
2006
146views more  IJON 2006»
13 years 9 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
KAIS
2008
151views more  KAIS 2008»
13 years 9 months ago
Expertise-based peer selection in Peer-to-Peer networks
Abstract. Peer-to-Peer systems have proven to be an effective way of sharing data. Modern protocols are able to efficiently route a message to a given peer. However, determining th...
Peter Haase, Ronny Siebes, Frank van Harmelen
PAMI
2006
206views more  PAMI 2006»
13 years 9 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
ACCV
2010
Springer
13 years 4 months ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
ICDE
2008
IEEE
110views Database» more  ICDE 2008»
14 years 10 months ago
Standing Out in a Crowd: Selecting Attributes for Maximum Visibility
In recent years, there has been significant interest in development of ranking functions and efficient top-k retrieval algorithms to help users in ad-hoc search and retrieval in da...
Muhammed Miah, Gautam Das, Vagelis Hristidis, Heik...