The training experiences needed by a learning system may be selected by either an external agent or the system itself. We show that knowledge of the current state of the learner...
Using a simple simulation model of evolution and learning this paper provides some evolutionary arguments on why Lamarckianlike inheritance - direct transfer of lifetime learning r...
Ingo Paenke, Bernhard Sendhoff, Jon Rowe, Chrisant...
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
Existing studies on BitTorrent systems are single-torrent based, while more than 85% of all peers participate in multiple torrents according to our trace analysis. In addition, th...
Lei Guo, Songqing Chen, Zhen Xiao, Enhua Tan, Xiao...
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...