4773 search results - page 213 / 955 » Learning from Uncertain Data |
77
Voted
IJON
2010
14 years 11 months ago
2010
This paper presents varifold learning, a learning framework based on the mathematical concept of varifolds. Different from manifold based methods, our varifold learning framework ...
101
Voted
WECWIS
2002
IEEE
15 years 5 months ago
2002
IEEE
In the web context, it is difficult to disentangle presentation from process logic, and sometimes even data is not separate from the presentation. Consequently, it becomes to de...
106
Voted
ICDM
2009
IEEE
15 years 7 months ago
2009
IEEE
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
120
click to vote
LWA
2008
15 years 2 months ago
2008
Where Information Retrieval (IR) and Text Categorization delivers a set of (ranked) documents according to a query, users of large document collections would rather like to receiv...
101
Voted
NIPS
2003
15 years 2 months ago
2003
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...