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» Evaluating algorithms that learn from data streams
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INFOCOM
2009
IEEE
15 years 7 months ago
An Experimental Evaluation of Rate Adaptation for Multi-Antenna Systems
—Increasingly wireless networks use multi-antenna nodes as in IEEE 802.11n and 802.16. The Physical layer (PHY) in such systems may use the antennas to provide multiple streams o...
Wonsoo Kim, O. Khan, Kien T. Truong, Soon-Hyeok Ch...
SSDBM
2005
IEEE
111views Database» more  SSDBM 2005»
15 years 6 months ago
Querying Streaming Geospatial Image Data: The GeoStreams Project
Data products generated from remotely-sensed, geospatial imagery (RSI) used in emerging areas, such as global climatology, environmental monitoring, land use, and disaster managem...
Quinn Hart, Michael Gertz
123
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PODS
2004
ACM
147views Database» more  PODS 2004»
16 years 19 days ago
Flexible Time Management in Data Stream Systems
Continuous queries in a Data Stream Management System (DSMS) rely on time as a basis for windows on streams and for defining a consistent semantics for multiple streams and updata...
Utkarsh Srivastava, Jennifer Widom
123
Voted
ICDE
2012
IEEE
233views Database» more  ICDE 2012»
13 years 2 months ago
Accuracy-Aware Uncertain Stream Databases
Abstract— Previous work has introduced probability distributions as first-class components in uncertain stream database systems. A lacking element is the fact of how accurate the...
Tingjian Ge, Fujun Liu
CORR
2006
Springer
126views Education» more  CORR 2006»
15 years 16 days ago
Evaluating the Robustness of Learning from Implicit Feedback
This paper evaluates the robustness of learning from implicit feedback in web search. In particular, we create a model of user behavior by drawing upon user studies in laboratory ...
Filip Radlinski, Thorsten Joachims