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» Distributed Regression for Heterogeneous Data Sets
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MLCW
2005
Springer
14 years 1 months ago
Lessons Learned in the Challenge: Making Predictions and Scoring Them
In this paper we present lessons learned in the Evaluating Predictive Uncertainty Challenge. We describe the methods we used in regression challenges, including our winning method ...
Jukka Kohonen, Jukka Suomela
WSC
2004
13 years 9 months ago
An Experimental Study on Forecasting Using TES Processes
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
Abdullah S. Karaman, Tayfur Altiok
ICML
2010
IEEE
13 years 9 months ago
SVM Classifier Estimation from Group Probabilities
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
Stefan Rüping
ICDE
2007
IEEE
174views Database» more  ICDE 2007»
14 years 2 months ago
Adapting Partitioned Continuous Query Processing in Distributed Systems
Partitioned query processing is an effective method to process continuous queries with large stateful operators in a distributed systems. This method typically partitions input da...
Yali Zhu, Elke A. Rundensteiner
IAJIT
2010
133views more  IAJIT 2010»
13 years 7 months ago
Mediation Queries Adaptation After the Removal of a Data Source
: A broad variety of data is available in distinct heterogeneous sources, stored under different formats: database formats (in relational and object-oriented models), document form...
Latifa Baba-hamed