Cosmological simulators are an important component in the study of the formation of galaxies and large scale structures, and can help answer many important questions about the uni...
Pritish Jetley, Filippo Gioachin, Celso L. Mendes,...
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
The ability to perform long, accurate molecular dynamics (MD) simulations involving proteins and other biological macromolecules could in principle provide answers to some of the ...
David E. Shaw, Martin M. Deneroff, Ron O. Dror, Je...
The Internet has grown tremendously in terms of the number of users who rely on it and the number of organizations that are connected to it. Characterizing how this growth affects...
Anusha Sriraman, Kevin R. B. Butler, Patrick Drew ...
In transfer learning the aim is to solve new learning tasks using fewer examples by using information gained from solving related tasks. Existing transfer learning methods have be...