Title
ILP with noise and fixed example size: a Bayesian approach
Abstract
In order to rank the performance of machine learning algorithms, many researchers conduct experiments on benchmark data sets. Since most learning algorithms have domain-specific parameters, it is a popular custom to adapt these parameters to obtain a ...
Year
Venue
Keywords
1997
IJCAI
bayesian approach,fixed example size,benchmark data set,popular custom,domain-specific parameter
Field
DocType
ISSN
Variable-order Bayesian network,Computer science,Artificial intelligence,Machine learning,Bayesian probability
Conference
1045-0823
ISBN
Citations 
PageRank 
1-555860-480-4
11
0.84
References 
Authors
5
2
Name
Order
Citations
PageRank
Eric McCreath113214.64
Arun Sharma221517.14