In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
: This paper presents a system for predicting dangerous driving events while driving on an expressway. There are three major tasks involved in the prediction system: (1) how to per...
Chiung-Yao Fang, Bo-Yan Wu, Jung Ming Wang, Sei-Wa...
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
There are a number of established products on the market for wrapping—semi-automatic navigation and extraction of data—from web pages. These solutions make use of the inherent...
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...