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» A general regression technique for learning transductions
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AIRWEB
2007
Springer
13 years 10 months ago
Transductive Link Spam Detection
Web spam can significantly deteriorate the quality of search engines. Early web spamming techniques mainly manipulate page content. Since linkage information is widely used in we...
Dengyong Zhou, Chris Burges, Tao Tao
BMCBI
2008
153views more  BMCBI 2008»
13 years 4 months ago
Improved general regression network for protein domain boundary prediction
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
Paul D. Yoo, Abdur R. Sikder, Bing Bing Zhou, Albe...
AAAI
2000
13 years 5 months ago
Self-Supervised Learning for Visual Tracking and Recognition of Human Hand
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...
Ying Wu, Thomas S. Huang
ECML
2005
Springer
13 years 10 months ago
Combining Bias and Variance Reduction Techniques for Regression Trees
Gradient Boosting and bagging applied to regressors can reduce the error due to bias and variance respectively. Alternatively, Stochastic Gradient Boosting (SGB) and Iterated Baggi...
Yuk Lai Suen, Prem Melville, Raymond J. Mooney
VEE
2012
ACM
322views Virtualization» more  VEE 2012»
12 years 3 days ago
Modeling virtualized applications using machine learning techniques
With the growing adoption of virtualized datacenters and cloud hosting services, the allocation and sizing of resources such as CPU, memory, and I/O bandwidth for virtual machines...
Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zh...