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PAKDD
2005
ACM
132views Data Mining» more  PAKDD 2005»
15 years 4 months ago
SETRED: Self-training with Editing
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
Ming Li, Zhi-Hua Zhou
SDM
2008
SIAM
176views Data Mining» more  SDM 2008»
15 years 23 days ago
A General Model for Multiple View Unsupervised Learning
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 5 months ago
Sparse Kernel SVMs via Cutting-Plane Training
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. ...
Thorsten Joachims, Chun-Nam John Yu
KDD
1999
ACM
217views Data Mining» more  KDD 1999»
15 years 3 months ago
An Efficient Algorithm to Update Large Itemsets with Early Pruning
We present an efficient algorithm (UWEP) for updating large itemsets when new transactions are added to the set of old transactions. UWEP employs a dynamic lookahead strategy in u...
Necip Fazil Ayan, Abdullah Uz Tansel, M. Erol Arku...
TNN
1998
121views more  TNN 1998»
14 years 11 months ago
Detection of mines and minelike targets using principal component and neural-network methods
— This paper introduces a new system for real-time detection and classification of arbitrarily scattered surface-laid mines from multispectral imagery data of a minefield. The ...
Xi Miao, Mahmood R. Azimi-Sadjadi, Bin Tan, A. C. ...