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COMSIS
2006
129views more  COMSIS 2006»
15 years 6 months ago
Constraint-Based Knowledge Representation for Individualized Instruction
Traditional knowledge representations were developed to encode complete, explicit and executable programs, a goal that makes them less than ideal for representing the incomplete an...
Stellan Ohlsson, Antonija Mitrovic
UAI
2000
15 years 7 months ago
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
Frank Wittig, Anthony Jameson
ICANN
2003
Springer
15 years 11 months ago
Sparse Coding with Invariance Constraints
We suggest a new approach to optimize the learning of sparse features under the constraints of explicit transformation symmetries imposed on the set of feature vectors. Given a set...
Heiko Wersing, Julian Eggert, Edgar Körner
ACL
2008
15 years 8 months ago
Soft Syntactic Constraints for Hierarchical Phrased-Based Translation
In adding syntax to statistical MT, there is a tradeoff between taking advantage of linguistic analysis, versus allowing the model to exploit linguistically unmotivated mappings l...
Yuval Marton, Philip Resnik
ICMLA
2010
15 years 4 months ago
Classification Models with Global Constraints for Ordinal Data
Ordinal classification is a form of multi-class classification where there is an inherent ordering between the classes, but not a meaningful numeric difference between them. Althou...
Jaime S. Cardoso, Ricardo Sousa