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TSP
2010
15 years 1 months ago
Optimal linear fusion for distributed detection via semidefinite programming
Consider the problem of signal detection via multiple distributed noisy sensors. We propose a linear decision fusion rule to combine the local statistics from individual sensors i...
Zhi Quan, Wing-Kin Ma, Shuguang Cui, Ali H. Sayed
AAAI
2012
13 years 8 months ago
POMDPs Make Better Hackers: Accounting for Uncertainty in Penetration Testing
Penetration Testing is a methodology for assessing network security, by generating and executing possible hacking attacks. Doing so automatically allows for regular and systematic...
Carlos Sarraute, Olivier Buffet, Jörg Hoffman...

Book
796views
17 years 5 months ago
Introduction to Machine Learning
This is an introductory book about machine learning. Notice that this is a draft book. It may contain typos, mistakes, etc. The book covers the following topics: Boolean Functio...
Nils J. Nilsson
ECAI
1998
Springer
15 years 10 months ago
Causal Logic
This paper proposes a logic for causal based on event trees. Event trees provide a natural and familiar framework for probability and decision theory, but they lack the modularity...
Glenn Shafer
EXPERT
2006
156views more  EXPERT 2006»
15 years 6 months ago
Computational Models of Ethical Reasoning: Challenges, Initial Steps, and Future Directions
on abstract principles that you can't easily apply in a formal, deductive fashion. So, the favorite tools of logicians and mathematicians, such as firstorder logic, aren'...
Bruce M. McLaren