2512 search results - page 72 / 503 » Learning from Highly Structured Data by Decomposition |
BMVC
2010
14 years 7 months ago
2010
We propose a method for vision-based scene understanding in urban traffic environments that predicts the appropriate behavior of a human driver in a given visual scene. The method...
IJAR
2010
14 years 8 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
PAKDD
2009
ACM
15 years 4 months ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
AAAI
1994
14 years 11 months ago
1994
Table lookup with interpolation is used for many learning and adaptation tasks. Redundant mappings capture the important concept of \motor skill," which is important in real,...
SSPR
2004
Springer
15 years 3 months ago
2004
Springer
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...