—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
The language of linear temporal logic (LTL) has been proposed as a formalism for specifying temporally extended goals and search control constraints in planning. However, the seman...
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...
Shortest path query is a problem to answer the shortest path from the origin to the destination in short time. The network is fixed, and the goal of the study is to develop efficie...
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...