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TSP
2010
14 years 7 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
94
Voted
AAAI
2012
13 years 3 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...
199
Voted

Book
796views
16 years 11 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
110
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ECAI
1998
Springer
15 years 5 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
107
Voted
EXPERT
2006
156views more  EXPERT 2006»
15 years 23 days 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