We present a generative probabilistic model for the topographic mapping of tree structured data. The model is formulated as constrained mixture of hidden Markov tree models. A nat...
Computing shortest paths between two given nodes is a fundamental operation over graphs, but known to be nontrivial over large disk-resident instances of graph data. While a numbe...
Andrey Gubichev, Srikanta J. Bedathur, Stephan Seu...
This paper introduces an adaptive parallel pipeline pattern which follows the GRASP (Grid-Adaptive Structured Parallelism) methodology. GRASP is a generic methodology to incorpora...
A purely functional le system has been built on top of pure Scheme. It provides persistent structures and massive storage expected of le systems, without explicit side-e ects like ...
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...