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TORCS: The Open Racing Car Simulator
1 years 7 months ago
TORCS: The Open Racing Car Simulator
Download  www.torcs.org
TORCS is a highly portable multi platform car racing simulation. It is used as ordinary car racing game, as AI racing game and as research platform. It runs on Linux (x86, AMD64 an...
posted by olethros
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ICMLA
2009
316views Machine Learning» more  ICMLA 2009»
Statistical Decision Making for Authentication and Intrusion Detection
2 years 2 months ago
Statistical Decision Making for Authentication and Intrusion Detection
Download  arxiv.org
User authentication and intrusion detection differ from standard classification problems in that while we have data generated from legitimate users, impostor or intrusion data is s...
Christos Dimitrakakis, Aikaterini Mitrokotsa
posted by olethros
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Publication
246views
Reid et al.'s Distance Bounding Protocol and Mafia Fraud Attacks over Noisy Channels
2 years 2 months ago
Reid et al.'s Distance Bounding Protocol and Mafia Fraud Attacks over Noisy Channels
Download  fias.uni-frankfurt.de
Distance bounding protocols are an effective countermeasure against relay attacks including distance fraud, mafia fraud and terrorist fraud attacks. Reid et al. proposed the first ...
A. Mitrokotsa, C. Dimitrakakis, P. Peris-Lopez, J....
posted by olethros
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ICML
2006
IEEE
233views Machine Learning» more  ICML 2006»
Cover Trees for Nearest Neighbor
2 years 2 months ago
Cover Trees for Nearest Neighbor
Download  hunch.net
We present a tree data structure for fast nearest neighbor operations in general n- point metric spaces (where the data set con- sists of n points). The data structure re- quir...
Alina Beygelzimer, Sham Kakade, John Langford
posted by olethros
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ICAART
2010
INSTICC
232views Intelligent Agents» more  ICAART 2010»
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
2 years 2 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
Download  arxiv.org
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
posted by olethros
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