957 search results - page 41 / 192 » Conditional Density Estimation with Class Probability Estima... |
99
Voted
BIOSYSTEMS
2007
15 years 2 months ago
2007
The Kolmogorov–Smirnov test determines the consistency of empirical data with a particular probability distribution. Often, parameters in the distribution are unknown, and have ...
116
Voted
AUSAI
2003
Springer
15 years 6 months ago
2003
Springer
We investigate why discretization is effective in naive-Bayes learning. We prove a theorem that identifies particular conditions under which discretization will result in naiveBay...
117
Voted
IJPRAI
1998
15 years 2 months ago
1998
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
136
Voted
UAI
2004
15 years 4 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
114
click to vote
JMLR
2011
14 years 9 months ago
2011
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...