94 search results - page 13 / 19 » Bayesian Hypothesis Testing in Machine Learning |
AIME
2003
Springer
13 years 12 months ago
2003
Springer
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...
ICML
2004
IEEE
14 years 7 months ago
2004
IEEE
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
ICAIL
2003
ACM
13 years 12 months ago
2003
ACM
In this paper, we introduce IBP, an algorithm that combines g with an abstract domain model and case-based reasoning techniques to predict the outcome of case-based legal argument...
IJCAI
2007
13 years 8 months ago
2007
Occam’s razor is the principle that, given two hypotheses consistent with the observed data, the simpler one should be preferred. Many machine learning algorithms follow this pr...
ITS
2004
Springer
14 years 2 days ago
2004
Springer
Abstract. There have been several attempts to automate knowledge acquisition for ITSs that teach procedural tasks. The goal of our project is to automate the acquisition of domain ...