The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current tr...
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
In the k-matches problem, we are given a pattern and a text, and for each text location, the desired output consists of all aligned matching characters if there are k or fewer of ...
: Automatic model construction is a core problem in mobile robotics. To solve this task efficiently, we need a motion strategy to guide a robot equipped with a range sensor through...
When tracking a target using phase-only signal returns, range ambiguities are a major issue. In this work, a look-up table between phase measurement space and target location spac...
Yongqiang Cheng, Xuezhi Wang, Terry Caelli, Bill M...