1034 search results - page 27 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
CCS
2006
ACM
13 years 11 months ago
2006
ACM
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
AI
2006
Springer
13 years 7 months ago
2006
Springer
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...