1864 search results - page 71 / 373 » Modeling Classification and Inference Learning |
125
Voted
ICIP
2010
IEEE
14 years 10 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
111
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HT
2005
ACM
15 years 6 months ago
2005
ACM
In recent years, many algorithms for the Web have been developed that work with information units distinct from individual web pages. These include segments of web pages or aggreg...
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Many collective labeling tasks require inference on graphical models where the clique potentials depend only on the number of nodes that get a particular label. We design efficien...
94
Voted
ML
2008
ACM
15 years 16 days ago
2008
ACM
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...