889 search results - page 77 / 178 » Observational Learning in Random Networks |
PRL
2011
13 years 1 days ago
2011
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
IJCNN
2007
IEEE
14 years 3 months ago
2007
IEEE
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
VL
2007
IEEE
14 years 3 months ago
2007
IEEE
Children who are active on the internet are performing significant design and programming activity without realising it, in the course of hacking little animations, game scripts a...
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
NEUROSCIENCE
2001
Springer
14 years 1 months ago
2001
Springer
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...