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» Learning and Inference with Constraints
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KDD
2006
ACM
240views Data Mining» more  KDD 2006»
16 years 6 months ago
Adaptive event detection with time-varying poisson processes
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
POPL
2002
ACM
16 years 6 months ago
Mining specifications
Program verification is a promising approach to improving program quality, because it can search all possible program executions for specific errors. However, the need to formally...
Glenn Ammons, James R. Larus, Rastislav Bodí...
NDSS
2007
IEEE
16 years 5 days ago
Attribute-Based Publishing with Hidden Credentials and Hidden Policies
With Hidden Credentials Alice can send policyencrypted data to Bob in such a way that he can decrypt the data only with the right combination of credentials. Alice gains no knowle...
Apu Kapadia, Patrick P. Tsang, Sean W. Smith
ATAL
2007
Springer
16 years 2 days ago
Effective tag mechanisms for evolving coordination
Tags or observable features shared by a group of similar agents are effectively used in real and artificial societies to signal intentions and can be used to infer unobservable ...
Matthew Matlock, Sandip Sen
IJCNN
2006
IEEE
15 years 12 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...