1034 search results - page 21 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
IJCAI
2007
13 years 8 months ago
2007
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
FPGA
2010
ACM
13 years 7 months ago
2010
ACM
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
DSS
2007
13 years 7 months ago
2007
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
JMLR
2010
13 years 2 months ago
2010
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
JMLR
2012
11 years 9 months ago
2012
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...