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» A Practical Approach to Model Extension
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104
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CIDM
2007
IEEE
15 years 6 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
94
Voted
COGSCI
2008
65views more  COGSCI 2008»
15 years 2 months ago
A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods
We review current methods for evaluating models in the cognitive sciences, including theoretically-based approaches, such as Bayes Factors and MDL measures, simulation approaches,...
Richard M. Shiffrin, Michael D. Lee, Woojae Kim, E...
120
Voted
DAC
2008
ACM
16 years 3 months ago
Functional test selection based on unsupervised support vector analysis
Extensive software-based simulation continues to be the mainstream methodology for functional verification of designs. To optimize the use of limited simulation resources, coverag...
Onur Guzey, Li-C. Wang, Jeremy R. Levitt, Harry Fo...
159
Voted
ICDE
2012
IEEE
304views Database» more  ICDE 2012»
13 years 5 months ago
Learning-based Query Performance Modeling and Prediction
— Accurate query performance prediction (QPP) is central to effective resource management, query optimization and query scheduling. Analytical cost models, used in current genera...
Mert Akdere, Ugur Çetintemel, Matteo Rionda...
126
Voted
INFORMATICALT
2011
80views more  INFORMATICALT 2011»
14 years 9 months ago
From Multiblock Partial Least Squares to Multiblock Redundancy Analysis. A Continuum Approach
For the purpose of exploring and modelling the relationships between a dataset and several datasets, multiblock Partial Least Squares is a widely-used regression technique. It is d...
Stéphanie Bougeard, Mostafa El Qannari, Cor...