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» Mismatched estimation and relative entropy
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NIPS
2003
13 years 9 months ago
Bias-Corrected Bootstrap and Model Uncertainty
The bootstrap has become a popular method for exploring model (structure) uncertainty. Our experiments with artificial and realworld data demonstrate that the graphs learned from...
Harald Steck, Tommi Jaakkola
INDOCRYPT
2004
Springer
14 years 1 months ago
Information Theory and the Security of Binary Data Perturbation
Random data perturbation (RDP) has been in use for several years in statistical databases and public surveys as a means of providing privacy to individuals while collecting informa...
Poorvi L. Vora
TIT
2002
91views more  TIT 2002»
13 years 7 months ago
Hidden Markov processes
An overview of statistical and information-theoretic aspects of hidden Markov processes (HMPs) is presented. An HMP is a discrete-time finite-state homogeneous Markov chain observe...
Yariv Ephraim, Neri Merhav
RSCTC
1993
Springer
96views Fuzzy Logic» more  RSCTC 1993»
14 years 3 days ago
Trusting an Information Agent
: While the common kinds of uncertainties in databases (e.g., null values, disjunction, corrupt/missing data, domain mismatch, etc.) have been extensively studied, a relatively une...
Hasan M. Jamil, Fereidoon Sadri
ICML
2006
IEEE
14 years 8 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor