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ICML
2010
IEEE
13 years 5 months ago
Constructing States for Reinforcement Learning
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
M. M. Hassan Mahmud
DI
2007
81views more  DI 2007»
13 years 8 months ago
Using every part of the buffalo in Windows memory analysis
All Windows memory analysis techniques depend on the examiner’s ability to translate the virtual addresses used by programs and operating system components into the true locatio...
Jesse D. Kornblum
SIGCOMM
2009
ACM
14 years 2 months ago
De-anonymizing the internet using unreliable IDs
Today’s Internet is open and anonymous. While it permits free traffic from any host, attackers that generate malicious traffic cannot typically be held accountable. In this pa...
Yinglian Xie, Fang Yu, Martín Abadi
GI
2007
Springer
14 years 2 months ago
Developing a Security Event Management System for Intermodal Transport
: Bremen, Federal State of Germany, is planning to set up a headquarter for GMES - Global Monitoring of Environment and Security. One goal of the Institute of Shipping Economics an...
Rainer Müller
USENIX
2003
13 years 9 months ago
Learning Spam: Simple Techniques For Freely-Available Software
The problem of automatically filtering out spam e-mail using a classifier based on machine learning methods is of great recent interest. This paper gives an introduction to mach...
Bart Massey, Mick Thomure, Raya Budrevich, Scott L...