360 search results - page 60 / 72 » Combining Learned Discrete and Continuous Action Models |
117
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KI
2010
Springer
14 years 4 months ago
2010
Springer
Hybrid systems are models for complex physical systems and are defined as dynamical systems with interacting discrete transitions and continuous evolutions along differential equa...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
115
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CVPR
2010
IEEE
15 years 24 days ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
80
Voted
MLDM
2005
Springer
15 years 3 months ago
2005
Springer
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
105
Voted
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...