889 search results - page 46 / 178 » Observational Learning in Random Networks |
JMLR
2010
13 years 4 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
ECRIME
2007
14 years 1 months ago
2007
There are many applications available for phishing detection. However, unlike predicting spam, there are only few studies that compare machine learning techniques in predicting ph...
AUTOMATICA
2000
13 years 9 months ago
2000
In this paper, a learning control system is considered for motion systems that are subject to two types of disturbances; reproducible disturbances, that re-occur each run in the s...
HIS
2003
13 years 10 months ago
2003
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
AAMAS
2007
Springer
13 years 9 months ago
2007
Springer
Abstract. Networked multi-agent systems are comprised of many autonomous yet interdependent agents situated in a virtual social network. Two examples of such systems are supply cha...