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JCP
2007
143views more  JCP 2007»
14 years 9 months ago
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
Nicolas Chapados, Yoshua Bengio
JUCS
2007
98views more  JUCS 2007»
14 years 9 months ago
Random k-GD-Sat Model and its Phase Transition
Abstract: We present a new type of sat problem called the k-gd-sat, which generalizes k-sat and gd-sat. In k-gd-sat, clause lengths have geometric distribution, controlled by a pro...
Milena Vujosevic-Janicic, Jelena Tomasevic, Predra...
ARSCOM
2002
74views more  ARSCOM 2002»
14 years 9 months ago
k-Geodomination in graphs
Raluca Muntean, Ping Zhang 0004
CORR
2004
Springer
68views Education» more  CORR 2004»
14 years 9 months ago
NoSEBrEaK - Attacking Honeynets
It is usually assumed that Honeynets are hard to detect and that attempts to detect or disable them can be unconditionally monitored. We scrutinize this assumption and demonstrate ...
Maximillian Dornseif, Thorsten Holz, Christian N. ...