692 search results - page 34 / 139 » Hierarchical exploration of large multivariate data sets |
CVPR
2007
IEEE
15 years 4 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
IV
2002
IEEE
15 years 2 months ago
2002
IEEE
We describe AudioCave, an environment for exploring the impact of spatialising sonified graphs on a set of numerical data comprehension tasks. Its design builds on findings regard...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
VIS
2008
IEEE
15 years 11 months ago
2008
IEEE
Myocardial perfusion imaging with single photon emission computed tomography (SPECT) is an established method for the detection and evaluation of coronary artery disease (CAD). Sta...