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» Some new directions in graph-based semi-supervised learning
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ICML
1989
IEEE
15 years 4 months ago
Uncertainty Based Selection of Learning Experiences
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&#...
Paul D. Scott, Shaul Markovitch
ECAL
2007
Springer
15 years 6 months ago
On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments
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...
IJCAI
2003
15 years 1 months ago
Constructing Diverse Classifier Ensembles using Artificial Training Examples
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...
Prem Melville, Raymond J. Mooney
IMC
2005
ACM
15 years 6 months ago
Measurements, Analysis, and Modeling of BitTorrent-like Systems
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...
ACL
1994
15 years 1 months ago
A Markov Language Learning Model for Finite Parameter Spaces
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...
Partha Niyogi, Robert C. Berwick