73 citations · 152 across the 24 of their papers we have counts for
5 papers · 1 filter
Greedy metrics in orthogonal greedy learning
Lin Xu, Shaobo Lin, Jinshan Zeng +1
Orthogonal greedy learning (OGL) is a stepwise learning scheme that adds a new atom from a dictionary via the steepest gradient descent and build the estimator via orthogonal proje…
Learning and approximation capability of orthogonal super greedy algorithm
Jian Fang, Shaobo Lin, Zongben Xu
We consider the approximation capability of orthogonal super greedy algorithms (OSGA) and its applications in supervised learning. OSGA is concerned with selecting more than one at…
A Cyclic Coordinate Descent Algorithm for lq Regularization
Jinshan Zeng, Zhimin Peng, Shaobo Lin +1
In recent studies on sparse modeling, () regularization has received considerable attention due to its superiorities on sparsity-inducing and bias reduction over the $…
Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm
Jinshan Zeng, Shaobo Lin, Zongben Xu
In recent studies on sparse modeling, non-convex penalties have received considerable attentions due to their superiorities on sparsity-inducing over the convex counterparts. Compa…
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)
Shaobo Lin, Xia Liu, Jian Fang +1
An extreme learning machine (ELM) can be regarded as a two stage feed-forward neural network (FNN) learning system which randomly assigns the connections with and within hidden neu…