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» Evaluating algorithms that learn from data streams
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144
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CORR
2010
Springer
193views Education» more  CORR 2010»
15 years 2 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
PODS
2005
ACM
211views Database» more  PODS 2005»
16 years 4 months ago
Join-distinct aggregate estimation over update streams
There is growing interest in algorithms for processing and querying continuous data streams (i.e., data that is seen only once in a fixed order) with limited memory resources. Pro...
Sumit Ganguly, Minos N. Garofalakis, Amit Kumar, R...
ASPLOS
2009
ACM
16 years 4 months ago
StreamRay: a stream filtering architecture for coherent ray tracing
The wide availability of commodity graphics processors has made real-time graphics an intrinsic component of the human/computer interface. These graphics cores accelerate the z-bu...
Karthik Ramani, Christiaan P. Gribble, Al Davis
117
Voted
ICDM
2002
IEEE
93views Data Mining» more  ICDM 2002»
15 years 9 months ago
Learning from Order Examples
We advocate a new learning task that deals with orders of items, and we call this the Learning from Order Examples (LOE) task. The aim of the task is to acquire the rule that is u...
Toshihiro Kamishima, Shotaro Akaho
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 4 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan