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» Evaluating algorithms that learn from data streams
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MM
2005
ACM
172views Multimedia» more  MM 2005»
15 years 6 months ago
Learning the semantics of multimedia queries and concepts from a small number of examples
In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...
Apostol Natsev, Milind R. Naphade, Jelena Tesic
93
Voted
BMCBI
2006
119views more  BMCBI 2006»
15 years 17 days ago
Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
Zihua Hu, Gail R. Willsky
ICRA
2009
IEEE
179views Robotics» more  ICRA 2009»
15 years 7 months ago
Automatic weight learning for multiple data sources when learning from demonstration
— Traditional approaches to programming robots are generally inaccessible to non-robotics-experts. A promising exception is the Learning from Demonstration paradigm. Here a polic...
Brenna Argall, Brett Browning, Manuela M. Veloso
83
Voted
COLT
2008
Springer
15 years 2 months ago
Learning from Collective Behavior
Inspired by longstanding lines of research in sociology and related fields, and by more recent largepopulation human subject experiments on the Internet and the Web, we initiate a...
Michael Kearns, Jennifer Wortman
104
Voted
IPPS
2009
IEEE
15 years 7 months ago
Implementing and evaluating multithreaded triad census algorithms on the Cray XMT
Commonly represented as directed graphs, social networks depict relationships and behaviors among social entities such as people, groups, and organizations. Social network analysi...
George Chin Jr., Andrès Márquez, Sut...