92 citations · 178 across the 10 of their papers we have counts for
5 papers · 1 filter
On Convex Clustering Solutions
Canh Hao Nguyen, Hiroshi Mamitsuka
Convex clustering is an attractive clustering algorithm with favorable properties such as efficiency and optimality owing to its convex formulation. It is thought to generalize bot…
Learning on Hypergraphs with Sparsity
Canh Hao Nguyen, Hiroshi Mamitsuka
Hypergraph is a general way of representing high-order relations on a set of objects. It is a generalization of graph, in which only pairwise relations can be represented. It finds…
Convex Coupled Matrix and Tensor Completion
Kishan Wimalawarne, Makoto Yamada, Hiroshi Mamitsuka
We propose a set of convex low rank inducing norms for a coupled matrices and tensors (hereafter coupled tensors), which shares information between matrices and tensors through com…
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez +10
Machine learning methods are used to discover complex nonlinear relationships in biological and medical data. However, sophisticated learning models are computationally unfeasible…
Sparse Learning over Infinite Subgraph Features
Ichigaku Takigawa, Hiroshi Mamitsuka
We present a supervised-learning algorithm from graph data (a set of graphs) for arbitrary twice-differentiable loss functions and sparse linear models over all possible subgraph f…