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103
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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 1 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
ECTEL
2006
Springer
15 years 4 months ago
Interoperability for Peer-to-Peer Networks: Opening P2P to the Rest of the World
Due to the information growth, distributed environments are offered as a feasible and scalable solution where Peerto-Peer networks have become more relevant. They bring many advan...
Ingo Brunkhorst, Daniel Olmedilla
104
Voted
ESWA
2008
151views more  ESWA 2008»
15 years 21 days ago
Automated diagnosis of sewer pipe defects based on machine learning approaches
In sewage rehabilitation planning, closed circuit television (CCTV) systems are the widely used inspection tools in assessing sewage structural conditions for non man entry pipes....
Ming-Der Yang, Tung-Ching Su
103
Voted
IWANN
1999
Springer
15 years 4 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 17 days ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens