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» Modeling When Connections Are the Problem
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UM
2005
Springer
16 years 6 days ago
Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems
Intelligent tutoring systems help students acquire cognitive skills by tracing students’ knowledge and providing relevant feedback. However, feedback that focuses only on the cog...
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Bruce ...
AAAI
2007
15 years 9 months ago
Search Space Reduction and Russian Doll Search
In a constraint optimization problem (COP), many feasible valuations lead to the same objective value. This often means a huge search space and poor performance in the propagation...
Kenil C. K. Cheng, Roland H. C. Yap
JSS
2006
155views more  JSS 2006»
15 years 6 months ago
Semantic component networking: Toward the synergy of static reuse and dynamic clustering of resources in the knowledge grid
Model is a kind of codified knowledge that has been verified in solving problems. Solving a complex problem usually needs a set of models. Using components, the composition of a s...
Hai Zhuge

Book
5396views
17 years 5 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
CVPR
2008
IEEE
16 years 8 months ago
Adaptive and constrained algorithms for inverse compositional Active Appearance Model fitting
Parametric models of shape and texture such as Active Appearance Models (AAMs) are diverse tools for deformable object appearance modeling and have found important applications in...
George Papandreou, Petros Maragos