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COLT
2005
Springer
14 years 2 months ago
Separating Models of Learning from Correlated and Uncorrelated Data
We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...
Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andr...
AI
2006
Springer
14 years 16 days ago
Belief Selection in Point-Based Planning Algorithms for POMDPs
Abstract. Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value funct...
Masoumeh T. Izadi, Doina Precup, Danielle Azar
FSE
2006
Springer
124views Cryptology» more  FSE 2006»
14 years 13 days ago
Improved Linear Distinguishers for SNOW 2.0
In this paper we present new and more accurate estimates of the biases of the linear approximation of the FSM of the stream cipher SNOW 2.0. Based on improved bias estimates we als...
Kaisa Nyberg, Johan Wallén
WSC
2007
13 years 11 months ago
Code analysis and CS-XML
The automated analysis of model specifications is an area that historically receives little attention in the simulation research community but which can offer significant bene...
Kara A. Olson, C. Michael Overstreet, E. Joseph De...
LREC
2010
140views Education» more  LREC 2010»
13 years 10 months ago
Annotating Event Anaphora: A Case Study
In recent years we have resgitered a renewed interest in event detection and temporal processing of text/discourse. TimeML (Pustejovsky et al., 2003a) has shed new lights on the n...
Tommaso Caselli, Irina Prodanof