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» Bounding the cost of learned rules
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SIGECOM
2006
ACM
88views ECommerce» more  SIGECOM 2006»
14 years 1 months ago
Implementation with a bounded action space
While traditional mechanism design typically assumes isomorphism between the agents’ type- and action spaces, in many situations the agents face strict restrictions on their act...
Liad Blumrosen, Michal Feldman
SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
13 years 8 months ago
Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets
Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
Henrik Boström
JMLR
2010
145views more  JMLR 2010»
13 years 2 months ago
Kernel Partial Least Squares is Universally Consistent
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
Gilles Blanchard, Nicole Krämer
ACL
1998
13 years 8 months ago
Maximum Entropy Model Learning of the Translation Rules
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
Kengo Sato, Masakazu Nakanishi
CRYPTO
2001
Springer
111views Cryptology» more  CRYPTO 2001»
13 years 12 months ago
On the Cost of Reconstructing a Secret, or VSS with Optimal Reconstruction Phase
Consider a scenario where an l-bit secret has been distributed among n players by an honest dealer using some secret sharing scheme. Then, if all players behave honestly, the secre...
Ronald Cramer, Ivan Damgård, Serge Fehr