36 citations · 54 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Genetic Programming, Validation Sets, and Parsimony Pressure
Christian Gagné, Marc Schoenauer, Marc Parizeau +1
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n…
Automatic Detection of Expanding HI Shells Using Artificial Neural Networks
Anik Daigle, Gilles Joncas, Marc Parizeau +1
The identification of expanding HI shells is difficult because of their variable morphological characteristics. The detection of HI bubbles on a global scale therefore never has be…