1034 search results - page 13 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
UAI
1998
13 years 8 months ago
1998
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
Co-evolutionary algorithms (CEAs) have been applied to optimization and machine learning problems with often mediocre results. One of the causes for the unfulfilled expectations i...
KDD
1999
ACM
13 years 11 months ago
1999
ACM
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...