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» Inclusion-Based Approximate Reasoning
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TIP
1998
99views more  TIP 1998»
13 years 4 months ago
Nonlinear image estimation using piecewise and local image models
—We introduce a new approach to image estimation based on a flexible constraint framework that encapsulates meaningful structural image assumptions. Piecewise image models (PIMâ...
Scott T. Acton, Alan C. Bovik
IOR
2010
75views more  IOR 2010»
13 years 3 months ago
Confronting Entrenched Insurgents
During counterinsurgency operations, government forces with superior …repower confront weaker lowsignature insurgents. Under what conditions should government (Blue) forces atta...
Edward H. Kaplan, Moshe Kress, Roberto Szechtman
JAIR
2010
165views more  JAIR 2010»
13 years 3 months ago
A Model-Based Active Testing Approach to Sequential Diagnosis
Model-based diagnostic reasoning often leads to a large number of diagnostic hypotheses. The set of diagnoses can be reduced by taking into account extra observations (passive mon...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
JUCS
2010
176views more  JUCS 2010»
13 years 3 months ago
An Approach to Generation of Decision Rules
: Classical classification and clustering based on equivalence relations are very important tools in decision-making. An equivalence relation is usually determined by properties of...
Zhang Mingyi, Danning Li, Zhang Ying
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
13 years 3 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala