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CIKM
1997
Springer
13 years 12 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
SIGCSE
1996
ACM
163views Education» more  SIGCSE 1996»
13 years 12 months ago
Database theory in practice: learning from cooperative group projects
lhis paper describes the use of cooperative group learning concepts in support of an undergraduate database mrtnagement course that emphasizes the theoretical and practical aspect...
Suzanne W. Dietrich, Susan Darling Urban
ECCV
2006
Springer
13 years 11 months ago
Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm
We present an analysis and algorithm for the problem of super-resolution imaging, that is the reconstruction of HR (high-resolution) images from a sequence of LR (lowresolution) im...
Hui Ji, Cornelia Fermüller
MFCS
2004
Springer
14 years 1 months ago
Complexity of Decision Problems for Simple Regular Expressions
We study the complexity of the inclusion, equivalence, and intersection problem for simple regular expressions arising in practical XML schemas. These basically consist of the conc...
Wim Martens, Frank Neven, Thomas Schwentick
POPL
1990
ACM
13 years 11 months ago
Higher-Order Modules and the Phase Distinction
Typed -calculus is an important tool in programming language research because it provides an extensible framework for studying language features both in isolation and in their rel...
Robert Harper, John C. Mitchell, Eugenio Moggi