1034 search results - page 2 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
JMLR
2012
13 years 2 days ago
2012
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...
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ICONIP
2008
14 years 11 months ago
2008
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
ADMA
2006
Springer
15 years 3 months ago
2006
Springer
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
IJCNLP
2005
Springer
15 years 3 months ago
2005
Springer
Ordering information is a difficult but a important task for natural language generation applications. A wrong order of information not only makes it difficult to understand, but a...