Tags
- 1-of-K coding scheme 1
- active function 2
- AdaBoost 2
- ADALINE 1
- Adaptive LInear NEuron, 1
- Algorithm 1
- Artificial Intelligence 16
- Artificial Neural Networks 16
- artificial neuron 1
- Associative Learning 1
- Axon 1
- backpropagation 4
- bagging 1
- basis function 1
- batch training 1
- Bayesian model averaging 1
- binary code scheme 2
- Biological Inspiration 1
- BMA 1
- boosting 2
- BP 3
- Cell body 1
- classifier 1
- clustering 2
- column space 1
- Combining Models 3
- committees 1
- Competitive Learning 1
- Conjugate Gradient 1
- continuous latent variable 1
- decision boundaries 2
- decision boundary 2
- decision regions 1
- decision surfaces 3
- Dendrites 1
- discriminant functions 2
- discriminate model 1
- eigenvalues 1
- eigenvectors 1
- EM 2
- EM algorithm 2
- expectation-maximization 1
- feature 1
- feature extraction 1
- features extension 1
- First-order Conditions 1
- Fisher linear discriminant 2
- Function Approximation 1
- Gaussian mixtures 1
- generative model 1
- generative models 1
- global optimization 1
- Hard Limit Transfer Function 1
- Heaviside step function 1
- Hebbian Learning 1
- Hessian matrix 1
- History of Artificial Neural Networks 1
- incremental training 1
- Jacobian matrix 1
- K-means algorithm 1
- Lagrange multiplier 1
- latent variable 1
- latent varible 1
- LDA 1
- Learning Rules 1
- least square estimation 2
- least squares estimation 2
- Linear Associator 1
- linear classification 6
- linear regression 5
- Linear Transfer Function 1
- LMS 2
- log-likelihood 1
- Log-sigmoid Transfer Function 1
- logistic regression 1
- logistic sigmoid function 2
- machine learning 18
- maximum likelihood 1
- maximum likelihood estimation 1
- mixture models 6
- Mixture of Gaussian 1
- multilayer perceptrons 1
- Multiple-inputs Neuron 1
- Multiple-Neuron Perceptron 1
- Necessary Conditions for Optimality 1
- Neural Networks 1
- Newton's method 1
- optimization 2
- optimum points 1
- Pattern Classification 1
- Perceptron 1
- Perceptron Architecture 1
- Perceptron Learning Rule 2
- Performance Learning 2
- performance optimization 1
- performance surfaces 1
- polynomial regression 1
- projection 1
- Quadratic Functions 1
- Recurrent Networks 1
- regression function 1
- reponsibility 1
- Residual Sum of Squares 1
- responsibility 1
- Saddle Points 1
- Second-order Condition 1
- Single Neuron Model 1
- sofemax function 1
- Speed Backpropagation up 1
- statistical learning 2
- Steepest Descent 1
- steepest descent method 1
- stochastic gradient 1
- structure of a neuron 1
- Supervised Hebbian Learning 1
- Taylor series 3
- The Chain Rule 1
- threshold function 1
- training set 1
- Transfer Functions 1
- unsupervised learning 1
- Variations of Hebb Learning 1
- Widrow-Hoff learning, 1