36 citations · 128 across the 18 of their papers we have counts for
3 papers · 1 filter
Isolation Kernel: The X Factor in Efficient and Effective Large Scale Online Kernel Learning
Kai Ming Ting, Jonathan R. Wells, Takashi Washio
Large scale online kernel learning aims to build an efficient and scalable kernel-based predictive model incrementally from a sequence of potentially infinite data points. A curren…
Learning Graph Representation via Formal Concept Analysis
Yuka Yoneda, Mahito Sugiyama, Takashi Washio
We present a novel method that can learn a graph representation from multivariate data. In our representation, each node represents a cluster of data points and each edge represent…
Discovering causal structures in binary exclusive-or skew acyclic models
Takanori Inazumi, Takashi Washio, Shohei Shimizu +3
Discovering causal relations among observed variables in a given data set is a main topic in studies of statistics and artificial intelligence. Recently, some techniques to discove…