163 search results - page 28 / 33 » Neural Mesh Ensembles |
ICANN
2003
Springer
14 years 1 months ago
2003
Springer
We suggest a new approach to optimize the learning of sparse features under the constraints of explicit transformation symmetries imposed on the set of feature vectors. Given a set...
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...
JCNS
2006
13 years 7 months ago
2006
Stimulus selectivity of sensory systems is often characterized by analyzing responseconditioned stimulus ensembles. However, in many cases these response-triggered stimulus sets h...
TKDE
2008
13 years 7 months ago
2008
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
GECCO
2011
Springer
12 years 11 months ago
2011
Springer
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...