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ICAPR
2005
Springer
15 years 11 months ago
Discovering Predictive Variables When Evolving Cognitive Models
A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters...
Peter C. R. Lane, Fernand Gobet
SLIP
2003
ACM
15 years 11 months ago
Fast estimation of the partitioning rent characteristic using a recursive partitioning model
In the past, a priori interconnect prediction, based on Rent’s rule, has been applied mainly for technology evaluation and roadmap applications. These applications do not requir...
Joni Dambre, Dirk Stroobandt, Jan Van Campenhout
IDA
2003
Springer
15 years 11 months ago
Very Predictive Ngrams for Space-Limited Probabilistic Models
In sequential prediction tasks, one repeatedly tries to predict the next element in a sequence. A classical way to solve these problems is to fit an order-n Markov model to the da...
Paul R. Cohen, Charles A. Sutton
ACL
2001
15 years 7 months ago
Using Machine Learning Techniques to Interpret WH-questions
We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. These models, which are built from shallow lingui...
Ingrid Zuckerman, Eric Horvitz
CODES
2006
IEEE
16 years 11 days ago
Yield prediction for architecture exploration in nanometer technology nodes: : a model and case study for memory organizations
Process variability has a detrimental impact on the performance of memories and other system components, which can lead to parametric yield loss at the system level due to timing ...
Antonis Papanikolaou, T. Grabner, Miguel Miranda, ...