1489 search results - page 77 / 298 » Monotonicity in Bayesian Networks |
144
Voted
ICDE
2007
IEEE
15 years 7 months ago
2007
IEEE
The problem of building Recommender Systems has attracted considerable attention in recent years, but most recommender systems are designed for recommending items for individuals....
161
Voted
UAI
1998
15 years 4 months ago
1998
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
137
Voted
UAI
1997
15 years 4 months ago
1997
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
147
Voted
CSMR
2009
IEEE
15 years 8 months ago
2009
IEEE
Creating accurate models of information systems is an important but challenging task. It is generally well understood that such modeling encompasses general scientific issues, bu...
144
Voted
UAI
1996
15 years 4 months ago
1996
Bayesiannetworks provide a languagefor qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of th...