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» Learning Algorithms for Domain Adaptation
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PPSN
1990
Springer
13 years 11 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
14 years 7 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray
INFOCOM
2008
IEEE
14 years 1 months ago
Multi-Channel Live P2P Streaming: Refocusing on Servers
Abstract—Due to peer instability and time-varying peer upload bandwidth availability in live peer-to-peer (P2P) streaming channels, it is preferable to provision adequate levels ...
Chuan Wu, Baochun Li, Shuqiao Zhao
ICASSP
2011
IEEE
12 years 11 months ago
Real-time conjugate gradients for online fMRI classification
Real-time functional magnetic resonance imaging (rtfMRI) enables classification of brain activity during data collection thus making inference results accessible to both the subj...
Hao Xu, Yongxin Taylor Xi, Ray Lee, Peter J. Ramad...
CCS
2007
ACM
14 years 1 months ago
Filtering spam with behavioral blacklisting
Spam filters often use the reputation of an IP address (or IP address range) to classify email senders. This approach worked well when most spam originated from senders with fix...
Anirudh Ramachandran, Nick Feamster, Santosh Vempa...