Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
The explosion of data in the biological community demands the development of more scalable and flexible portals for bioinformatic computation. To address this need, we put forth c...
Rory Carmichael, Patrick Braga-Henebry, Douglas Th...
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
In a geographical route search, given search terms, the goal is to find an effective route that (1) starts at a given location, (2) ends at a given location, and (3) travels via...
The road network is one of the most important types of information on raster maps. In particular, the set of road intersection templates, which consists of the road intersection p...