1888 search results - page 67 / 378 » The Learning Power of Evolution |
123
Voted
CCR
2010
15 years 3 months ago
2010
There is significant research interest recently to understand the evolution of the current Internet, as well as to design clean-slate Future Internet architectures. Clearly, even ...
117
Voted
COLT
2007
Springer
15 years 9 months ago
2007
Springer
This paper solves an important problem left open in the literature by showing that U-shapes are unnecessary in iterative learning. A U-shape occurs when a learner first learns, t...
101
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
Building upon the interactive inversion method introduced by Ashburn and Bonabeau (2004), we show how to dramatically improve the results by exploiting modularity and by letting t...
127
Voted
IEEEICCI
2003
IEEE
15 years 8 months ago
2003
IEEE
During software evolution, programmers add new functionalities and release new versions of software. This complicated work involves not only program development but also learning ...
118
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...