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» Domain Adaptation for Statistical Classifiers
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SECON
2007
IEEE
14 years 4 months ago
On the Prevalence of Sensor Faults in Real-World Deployments
—Various sensor network measurement studies have reported instances of transient faults in sensor readings. In this work, we seek to answer a simple question: How often are such ...
Abhishek Sharma, Leana Golubchik, Ramesh Govindan
WEBI
2010
Springer
13 years 7 months ago
Incorporating Seasonality into Search Suggestions Derived from Intranet Query Logs
While much research has been performed on query logs collected for major Web search engines, query log analysis to enhance search on smaller and more focused collections has attrac...
Stephen Dignum, Udo Kruschwitz, Maria Fasli, Yunhy...
ICML
2009
IEEE
14 years 10 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICDE
2009
IEEE
290views Database» more  ICDE 2009»
14 years 11 months ago
GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases
Graphs are being increasingly used to model a wide range of scientific data. Such widespread usage of graphs has generated considerable interest in mining patterns from graph datab...
Sayan Ranu, Ambuj K. Singh
ICML
2007
IEEE
14 years 10 months ago
Learning to combine distances for complex representations
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
Adam Woznica, Alexandros Kalousis, Melanie Hilario