A loss-function based approach for evaluating reliability improvement of an engineering design.
Jeh-Nan PanSheau-Chiann ChenPublished in: Expert Syst. Appl. (2013)
Keyphrases
- engineering design
- loss function
- pairwise
- support vector
- conceptual design
- logistic regression
- engineering problems
- learning to rank
- artificial intelligence
- design process
- risk minimization
- engineering education
- empirical risk
- boosting framework
- design theory
- reproducing kernel hilbert space
- hinge loss
- computer science and artificial intelligence
- solution path
- convex loss functions
- information retrieval
- boosting algorithms
- least squares
- data sets
- stochastic gradient descent
- regularization term
- active learning
- user interface
- similarity measure