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EUROCOLT
1995
Springer
14 years 5 days ago
A decision-theoretic generalization of on-line learning and an application to boosting
k. The model we study can be interpreted as a broad, abstract extension of the well-studied on-line prediction model to a general decision-theoretic setting. We show that the multi...
Yoav Freund, Robert E. Schapire
SOFSEM
2010
Springer
14 years 5 months ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour
ICHIM
2001
121views more  ICHIM 2001»
13 years 10 months ago
From Dust to Stardust: A Collaborative 3D Virtual Museum of Computer Science
One of the outcomes of Moore's Law - according to which the exponential growth of technical advances in computer science is pushing more and more of our computers into obsole...
Thimoty Barbieri, Franca Garzotto, Giovanni Beltra...
IJCAI
2007
13 years 10 months ago
Emergence of Norms through Social Learning
Behavioral norms are key ingredients that allow agent coordination where societal laws do not sufï¬ciently constrain agent behaviors. Whereas social laws need to be enforced in a...
Sandip Sen, Stéphane Airiau
APAL
2007
99views more  APAL 2007»
13 years 8 months ago
A categorical semantics for polarized MALL
In this paper, we present a categorical model for Multiplicative Additive Polarized Linear Logic MALLP, which is the linear fragment (without structural rules) of Olivier Laurentâ...
Masahiro Hamano, Philip J. Scott