371 search results - page 40 / 75 » Discriminative vs Informative Learning |
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
BMCBI
2008
14 years 10 months ago
2008
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
74
Voted
CORR
2010
Springer
14 years 8 months ago
2010
Springer
The neighbourhood function NG(t) of a graph G gives, for each t ∈ N, the number of pairs of nodes x, y such that y is reachable from x in less that t hops. The neighbourhood fun...
WACV
2007
IEEE
15 years 4 months ago
2007
IEEE
Visual categorization is fundamentally important for autonomous mobile robots to get intelligence such as novel object acquisition and topological place recognition. The main difï...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...