779 search results - page 61 / 156 » Information-theoretic Competitive Learning |
133
Voted
NIPS
2004
15 years 5 months ago
2004
We present a competitive analysis of Bayesian learning algorithms in the online learning setting and show that many simple Bayesian algorithms (such as Gaussian linear regression ...
128
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
161
Voted
WEBI
2010
Springer
15 years 1 months ago
2010
Springer
In this paper, we propose a Relation Expansion framework, which uses a few seed sentences marked up with two entities to expand a set of sentences containing target relations. Duri...
138
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...