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ICML
2007
IEEE
16 years 7 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
TSD
2007
Springer
16 years 1 months ago
An Adaptive Keyboard with Personalized Language-Based Features
Our research is about an adaptive keyboard, which autonomously adjusts its predictive features and key displays to current user input. We used personalized word prediction to impro...
Siska Fitrianie, Léon J. M. Rothkrantz
ENTCS
2007
101views more  ENTCS 2007»
15 years 6 months ago
Parametric Performance Contracts: Non-Markovian Loop Modelling and an Experimental Evaluation
Even with todays hardware improvements, performance problems are still common in many software systems. An approach to tackle this problem for component-based software architectur...
Heiko Koziolek, Viktoria Firus
NPL
2011
14 years 9 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...
EDBT
2006
ACM
118views Database» more  EDBT 2006»
16 years 7 months ago
Multi-dimensional Aggregation for Temporal Data
Business Intelligence solutions, encompassing technologies such as multi-dimensional data modeling and aggregate query processing, are being applied increasingly to non-traditional...
Christian S. Jensen, Johann Gamper, Michael H. B&o...