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AI
2002
Springer
13 years 6 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
VLDB
2007
ACM
126views Database» more  VLDB 2007»
14 years 6 months ago
Querying Complex Structured Databases
Correctly generating a structured query (e.g., an XQuery or a SQL query) requires the user to have a full understanding of the database schema, which can be a daunting task. Alter...
Cong Yu, H. V. Jagadish
AUTOMATICA
2007
95views more  AUTOMATICA 2007»
13 years 6 months ago
Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough
This paper extends previous work on joint input and state estimation to systems with direct feedthrough of the unknown input to the output. Using linear minimum-variance unbiased ...
Steven Gillijns, Bart De Moor
ICAIL
1995
ACM
13 years 10 months ago
Automated Legislative Drafting: Generating Paraphrases of Legislation
In this paper, we describe which roles deep structures of law play in (automatic) drafting legislation. Deep structures contain a formal description of the intended normative effe...
Radboud Winkels, Nienke den Haan
FLAIRS
2010
13 years 9 months ago
Handling of Numeric Ranges for Graph-Based Knowledge Discovery
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Ho...