3 papers
cs.LG2018
Evaluating and Characterizing Incremental Learning from Non-Stationary Data
Alejandro Cervantes, Christian Gagné, Pedro Isasi +1
Incremental learning from non-stationary data poses special challenges to the field of machine learning. Although new algorithms have been developed for this, assessment of results…
cs.NE2018
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
Joel Lehman, Jeff Clune, Dusan Misevic +50
Biological evolution provides a creative fount of complex and subtle adaptations, often surprising the scientists who discover them. However, because evolution is an algorithmic pr…
physics.bio-ph2006
Biological Principles in Self-Organization of Young Brain - Viewed from Kohonen Model
Tanguy Pallaver, Helmut Kroger, Marc Parizeau
Variants of the Kohonen model are proposed to study biological principles of self-organization in a model of young brain. We suggest a function to measure aquired knowledge and use…