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» PSOM Network: Learning with Few Examples
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LCN
2006
IEEE
13 years 11 months ago
Training on multiple sub-flows to optimise the use of Machine Learning classifiers in real-world IP networks
Literature on the use of machine learning (ML) algorithms for classifying IP traffic has relied on fullflows or the first few packets of flows. In contrast, many real-world scenar...
Thuy T. T. Nguyen, Grenville J. Armitage
ICMLA
2003
13 years 6 months ago
The Consolidation of Neural Network Task Knowledge
— Fundamental to the problem of lifelong machine learning is how to consolidate the knowledge of a learned task within a long-term memory structure (domain knowledge) without the...
Daniel L. Silver, Peter McCracken
WSDM
2012
ACM
296views Data Mining» more  WSDM 2012»
12 years 22 days ago
Inferring social ties across heterogenous networks
It is well known that different types of social ties have essentially different influence between people. However, users in online social networks rarely categorize their contact...
Jie Tang, Tiancheng Lou, Jon M. Kleinberg
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
11 years 7 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
ECCV
2008
Springer
14 years 7 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...