2898 search results - page 271 / 580 » Ensemble Methods in Machine Learning |
118
Voted
ICML
2009
IEEE
15 years 7 months ago
2009
IEEE
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
ECML
2001
Springer
15 years 5 months ago
2001
Springer
When correct priors are known, Bayesian algorithms give optimal decisions, and accurate confidence values for predictions can be obtained. If the prior is incorrect however, these...
102
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
114
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
In the task of adaptive information filtering, a system receives a stream of documents but delivers only those that match a person's information need. As the system filters i...
111
Voted
KDD
2004
ACM
16 years 1 months ago
2004
ACM
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...