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MMB
2010
Springer
194views Communications» more  MMB 2010»
15 years 11 months ago
Searching for Tight Performance Bounds in Feed-Forward Networks
Abstract. Computing tight performance bounds in feed-forward networks under general assumptions about arrival and server models has turned out to be a challenging problem. Recently...
Andreas Kiefer, Nicos Gollan, Jens B. Schmitt
STOC
2000
ACM
174views Algorithms» more  STOC 2000»
15 years 11 months ago
Noise-tolerant learning, the parity problem, and the statistical query model
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Avrim Blum, Adam Kalai, Hal Wasserman
COLT
1999
Springer
15 years 11 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon
TAGT
1994
Springer
185views Graph Theory» more  TAGT 1994»
15 years 10 months ago
Concatenation of Graphs
An operation of concatenation is introduced for graphs. Then strings are viewed as expressions denoting graphs, and string languages are interpreted as graph languages. For a clas...
Joost Engelfriet, Jan Joris Vereijken
ARGMAS
2007
Springer
15 years 10 months ago
Arguing and Explaining Classifications
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent knowledge, based on the construction and the comparison of arguments. In this pape...
Leila Amgoud, Mathieu Serrurier