Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
The relationship between abstract interpretation and partial deduction has received considerable attention and (partial) integrations have been proposed starting from both the part...
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
Real-time content-based access to live video data requires content analysis applications that are able to process the video data at least as fast as the video data is made availab...
Viktor S. Wold Eide, Frank Eliassen, Ole-Christoff...
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...