2980 search results - page 293 / 596 » Learning better together |
181
Voted
FLAIRS
2004
15 years 8 months ago
2004
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
180
click to vote
CORR
2010
Springer
15 years 6 months ago
2010
Springer
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We give an algorithm for this problem that has running ...
195
click to vote
SSPR
2010
Springer
15 years 5 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
201
click to vote
AIPS
2011
14 years 10 months ago
2011
Applying learning techniques to acquire action models is an area of intense research interest. Most previous works in this area have assumed that there is a significant amount of...
158
click to vote
CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
Recently, "epitomes" were introduced as patch-based probability models that are learned by compiling together a large number of examples of patches from input images. In...