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ENTCS
2008
94views more  ENTCS 2008»
13 years 3 months ago
On the Convergence of Reduction-based and Model-based Methods in Proof Theory
In the recent past, the reduction-based and the model-based methods to prove cut elimination have converged, so that they now appear just as two sides of the same coin. This paper...
Gilles Dowek
JMLR
2002
111views more  JMLR 2002»
13 years 4 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
SIAMNUM
2010
129views more  SIAMNUM 2010»
12 years 11 months ago
Convergence of an Adaptive Finite Element Method for Controlling Local Energy Errors
A number of works concerning rigorous convergence theory for adaptive finite element methods (AFEM) for controlling global energy errors have appeared in recent years. However, man...
Alan Demlow
CORR
2010
Springer
155views Education» more  CORR 2010»
13 years 2 months ago
A Proof Theoretic Analysis of Intruder Theories
We consider the problem of intruder deduction in security protocol analysis: that is, deciding whether a given message M can be deduced from a set of messages under the theory of ...
Alwen Tiu, Rajeev Goré, Jeremy E. Dawson
JAIR
2008
135views more  JAIR 2008»
13 years 4 months ago
On Similarities between Inference in Game Theory and Machine Learning
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...