1034 search results - page 37 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
ICTAI
2008
IEEE
15 years 4 months ago
2008
IEEE
It is difficult to learn good classifiers when training data is missing attribute values. Conventional techniques for dealing with such omissions, such as mean imputation, general...
UAI
2003
14 years 11 months ago
2003
This paper proposes and evaluates the k-greedy equivalence search algorithm (KES) for learning Bayesian networks (BNs) from complete data. The main characteristic of KES is that i...
115
click to vote
CCGRID
2007
IEEE
15 years 4 months ago
2007
IEEE
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
IDA
2005
Springer
15 years 3 months ago
2005
Springer
DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
ECML
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...