187 search results - page 12 / 38 » Learning Hierarchical Structures with Linear Relational Embe... |
AIPS
2007
13 years 9 months ago
2007
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
BMCBI
2007
13 years 7 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
SSD
2001
Springer
13 years 11 months ago
2001
Springer
The design of external index structures for one- and multidimensional extended objects is a long and well studied subject in basic database research. Today, more and more commercia...
FGR
2004
IEEE
13 years 11 months ago
2004
IEEE
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...