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ICWL
2007
Springer
13 years 10 months ago
Using Constraint-Based Modelling to Describe the Solution Space of Ill-defined Problems in Logic Programming
Intelligent Tutoring Systems have made great strides in recent years. Many of these gains have been achieved for welldefined problems. However, solving ill-defined problems is imp...
Nguyen-Thinh Le, Wolfgang Menzel
JBCB
2010
123views more  JBCB 2010»
13 years 3 months ago
Characterizing the Space of interatomic Distance Distribution Functions Consistent with Solution Scattering Data
: Scattering of neutrons and x-rays from molecules in solution offers alternative approaches to the studying of a wide range of macromolecular structures in their solution state w...
Paritosh A. Kavathekar, Bruce A. Craig, Alan M. Fr...
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
12 years 11 months ago
Aggregation-based model reduction of a Hidden Markov Model
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
WLP
2004
Springer
13 years 10 months ago
Effective Modeling with Constraints
Constraint programming provides a declarative approach to solving combinatorial (optimization) problems. The user just states the problem as a constraint satisfaction problem (CSP)...
Roman Barták
KBSE
2005
IEEE
13 years 10 months ago
Automated test generation for engineering applications
In test generation based on model-checking, white-box test criteria are represented as trap conditions written in a temporal logic. A model checker is used to refute trap conditio...
Songtao Xia, Ben Di Vito, César Muño...