695 search results - page 16 / 139 » Different Learning Algorithms for Neural Networks - A Compar... |
ICANN
2001
Springer
13 years 12 months ago
2001
Springer
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
COMPLEX
2009
Springer
13 years 11 months ago
2009
Springer
Creating ensembles of random but "realistic" topologies for complex systems is crucial for many tasks such as benchmark generation and algorithm analysis. In general, exp...
MEDINFO
2007
13 years 9 months ago
2007
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
SIMUTOOLS
2008
13 years 9 months ago
2008
In this work we present the results of a comparative study between two well-known network simulators: ns-2 and OPNET Modeler. In particular, we focus on a performance evaluation o...
AMC
2005
13 years 7 months ago
2005
We introduce a novel way of measuring the entropy of a set of values undergoing changes. Such a measure becomes useful when analyzing the temporal development of an algorithm desi...