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» A Graph Theoretic Approach to Protein Structure Selection
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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 9 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
AMAI
2004
Springer
14 years 2 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
ATAL
2010
Springer
13 years 9 months ago
Stackelberg vs. Nash in security games: interchangeability, equivalence, and uniqueness
There has been significant recent interest in game theoretic approaches to security, with much of the recent research focused on utilizing the leader-follower Stackelberg game mod...
Zhengyu Yin, Dmytro Korzhyk, Christopher Kiekintve...
JAIR
2011
214views more  JAIR 2011»
12 years 11 months ago
Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness
There has been significant recent interest in game theoretic approaches to security, with much of the recent research focused on utilizing the leader-follower Stackelberg game mo...
Dmytro Korzhyk, Zhengyu Yin, Christopher Kiekintve...