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TCS
2010
15 years 4 months ago
Active learning in heteroscedastic noise
We consider the problem of actively learning the mean values of distributions associated with a finite number of options. The decision maker can select which option to generate t...
András Antos, Varun Grover, Csaba Szepesv&a...
JSAC
2006
95views more  JSAC 2006»
15 years 6 months ago
Impact of Packet Sampling on Portscan Detection
Abstract-- Packet sampling is commonly deployed in highspeed backbone routers to minimize resources used for network monitoring. It is known that packet sampling distorts traffic s...
Jianning Mai, Ashwin Sridharan, Chen-Nee Chuah, Hu...
DATAMINE
2002
155views more  DATAMINE 2002»
15 years 6 months ago
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences. We investigate the use of a...
Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz
BMCBI
2010
152views more  BMCBI 2010»
15 years 6 months ago
A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry
Background: High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflo...
Chongle Pan, Byung-Hoon Park, William H. McDonald,...
MM
2010
ACM
271views Multimedia» more  MM 2010»
15 years 4 months ago
Large-scale music tag recommendation with explicit multiple attributes
Social tagging can provide rich semantic information for largescale retrieval in music discovery. Such collaborative intelligence, however, also generates a high degree of tags un...
Zhendong Zhao, Xinxi Wang, Qiaoliang Xiang, Andy M...