Sparse Network Lasso for Local High-dimensional Regression.
Makoto YamadaKoh TakeuchiTomoharu IwataJohn Shawe-TaylorSamuel KaskiPublished in: CoRR (2016)
Keyphrases
- high dimensional
- generalized linear models
- regression model
- variable selection
- linear regression
- sparse data
- model selection
- regularized regression
- computer networks
- group lasso
- network model
- low dimensional
- sparse representation
- elastic net
- logistic regression
- peer to peer
- high dimension
- additive models
- sparse regression
- network traffic
- communication networks
- dimension reduction
- dimensionality reduction
- neural network
- metric space
- sparse coding
- data sets
- sample size
- similarity search
- radial basis function network
- high dimensional data
- support vector machine
- data points
- wireless sensor networks
- artificial neural networks