nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Adaptive Probabilistic Networks with Hidden Variables
|
John Binder |
|
1997 |
29 |
2 |
p. 213-244 32 p. |
artikel |
2 |
Bayesian Network Classifiers
|
Nir Friedman |
|
1997 |
29 |
2 |
p. 131-163 33 p. |
artikel |
3 |
Efficient Approximations for the MarginalLikelihood of Bayesian Networks with Hidden Variables
|
David Maxwell Chickering |
|
1997 |
29 |
2 |
p. 181-212 32 p. |
artikel |
4 |
Factorial Hidden Markov Models
|
Zoubin Ghahramani |
|
1997 |
29 |
2 |
p. 245-273 29 p. |
artikel |
5 |
Learning with Probabilistic Representations
|
Pat Langley |
|
1997 |
29 |
2 |
p. 91-101 11 p. |
artikel |
6 |
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
|
Pedro Domingos |
|
1997 |
29 |
2 |
p. 103-130 28 p. |
artikel |
7 |
Predicting Protein Secondary Structure Using Stochastic Tree Grammars
|
Naoki Abe |
|
1997 |
29 |
2 |
p. 275-301 27 p. |
artikel |
8 |
The Sample Complexity of Learning Fixed-Structure Bayesian Networks
|
Sanjoy Dasgupta |
|
1997 |
29 |
2 |
p. 165-180 16 p. |
artikel |