Fast incremental adaptation using maximum likelihood regression and stochastic gradient descent.
Sreeram V. BalakrishnanPublished in: INTERSPEECH (2003)
Keyphrases
- stochastic gradient descent
- maximum likelihood
- matrix factorization
- least squares
- loss function
- step size
- regression model
- incremental learning
- random forests
- em algorithm
- parameter estimation
- support vector
- weight vector
- support vector machine
- gaussian distribution
- expectation maximization
- importance sampling
- online algorithms
- model selection
- hyperparameters
- regularization parameter
- multiple kernel learning
- random forest
- principal component analysis
- training data
- optical flow