Constructing a Deep Regression Model Utilizing Cascaded Sparse Autoencoders and Stochastic Gradient Descent.
Arezou Moussavi KhalkhaliMo M. JamshidiPublished in: ICMLA (2016)
Keyphrases
- regression model
- stochastic gradient descent
- generalized linear models
- least squares
- loss function
- matrix factorization
- step size
- random forests
- denoising
- linear model
- model selection
- multiple kernel learning
- gaussian process
- importance sampling
- linear regression
- pairwise
- weight vector
- regularization parameter
- support vector machine
- high dimensional
- convergence speed
- low rank
- feature selection
- missing data
- markov random field
- collaborative filtering