Using Recurrent Neural Networks to Build a Stopping Algorithm for an Adaptive Assessment.
Jeffrey MatayoshiEric CosynHasan UzunPublished in: AIED (2) (2019)
Keyphrases
- recurrent neural networks
- detection algorithm
- computational cost
- learning algorithm
- optimization algorithm
- matching algorithm
- k means
- np hard
- preprocessing
- mathematical model
- computational complexity
- search space
- significant improvement
- worst case
- segmentation algorithm
- closed form
- convergence rate
- recognition algorithm
- model selection
- expectation maximization
- simulated annealing
- dynamic programming
- cost function
- long term
- artificial neural networks
- search algorithm
- decision trees
- artificial intelligence