Learning Deep Neural Networks for High Dimensional Output Problems.
Benjamin LabbéRomain HéraultClément ChatelainPublished in: ICMLA (2009)
Keyphrases
- neural network
- high dimensional
- neural nets
- learning algorithm
- learning systems
- high dimensional data
- connectionist systems
- solving problems
- high dimensionality
- learning process
- artificial neural networks
- learning problems
- data sets
- reinforcement learning
- incremental learning
- online learning
- feed forward
- evolutionary algorithm
- high dimensional problems
- deep learning
- feedforward neural networks
- bayesian networks
- learning scheme
- prior knowledge
- state space
- pattern recognition
- supervised learning
- feature space
- back propagation
- training set
- unsupervised learning
- knowledge acquisition