290 search results - page 5 / 58 » Learning hierarchical similarity metrics |
ESANN
2008
13 years 9 months ago
2008
Natural policy gradient methods and the covariance matrix adaptation evolution strategy, two variable metric methods proposed for solving reinforcement learning tasks, are contrast...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
In this work, we explore the use of a learning-based framework for retrieval of relevant mammogram images from a database, for purposes of aiding diagnoses. A fundamental issue is...
COGSCI
2008
13 years 6 months ago
2008
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Personal ontology construction is the task of sorting through relevant materials, identifying the main topics and concepts, and organizing them to suit personal needs. Automatic c...
KES
2004
Springer
14 years 25 days ago
2004
Springer
Clustering groups records that are similar to each other into the same group, and those that are less similar into different groups. Clustering data of mixed types is difficult du...