Path loss prediction in urban environment using learning machines and dimensionality reduction techniques.
Mauro PiacentiniFrancesco RinaldiPublished in: Comput. Manag. Sci. (2011)
Keyphrases
- urban environments
- learning machines
- dimensionality reduction
- support vector
- prediction accuracy
- urban areas
- model selection
- ensemble learning
- pattern recognition
- training algorithm
- high dimensional data
- route descriptions
- learning tasks
- feature extraction
- augmented reality
- learning problems
- low dimensional
- principal component analysis
- support vector machine
- vc dimension
- feature selection
- generalization error
- machine learning
- high dimensional
- feature space
- data sets
- cross validation
- shortest path
- knn
- multi task learning
- training data
- learning algorithm