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» Probabilistic Assumption-Based Reasoning
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AI
2011
Springer
14 years 3 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
CCS
2011
ACM
13 years 11 months ago
Information-flow types for homomorphic encryptions
We develop a flexible information-flow type system for a range of encryption primitives, precisely reflecting their diverse functional and security features. Our rules enable e...
Cédric Fournet, Jérémy Planul...
CSFW
2011
IEEE
13 years 11 months ago
A Statistical Test for Information Leaks Using Continuous Mutual Information
—We present a statistical test for detecting information leaks in systems with continuous outputs. We use continuous mutual information to detect the information leakage from tri...
Tom Chothia, Apratim Guha
ILP
2007
Springer
15 years 6 months ago
Learning to Assign Degrees of Belief in Relational Domains
A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...
Frédéric Koriche
ICDE
2007
IEEE
104views Database» more  ICDE 2007»
16 years 1 months ago
Indexing Uncertain Categorical Data
Uncertainty in categorical data is commonplace in many applications, including data cleaning, database integration, and biological annotation. In such domains, the correct value o...
Sarvjeet Singh, Chris Mayfield, Sunil Prabhakar, R...