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» Generalization Improvement in Multi-Objective Learning
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DAGM
2010
Springer
13 years 11 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
13 years 11 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson
GIS
2010
ACM
13 years 8 months ago
Location disambiguation in local searches using gradient boosted decision trees
Local search is a specialization of the web search that allows users to submit geographically constrained queries. However, one of the challenges for local search engines is to un...
Ritesh Agrawal, James G. Shanahan
KDD
2008
ACM
264views Data Mining» more  KDD 2008»
14 years 10 months ago
Stable feature selection via dense feature groups
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
Lei Yu, Chris H. Q. Ding, Steven Loscalzo
ICCV
2009
IEEE
15 years 2 months ago
Label Set Perturbation for MRF based Neuroimaging Segmentation
Graph-cuts based algorithms are effective for a variety of segmentation tasks in computer vision. Ongoing research is focused toward making the algorithms even more general, as ...
Dylan Hower, Vikas Singh, Sterling C. Johnson