In this paper, we study a sequential decision making problem. The objective is to maximize the average reward accumulated over time subject to temporal cost constraints. The novel...
We introduce a new dimension to the widely studied on-line approximate string matching problem, by introducing an error threshold parameter so that the algorithm is allowed to mis...
We present a novel method to control a biped humanoid robot to walk on unknown inclined terrains, using an online learning algorithm to estimate in real-time the local terrain fro...
Abstract. In this paper, we address the task of affect recognition from text messaging. In order to sense and interpret emotional information expressed through written language, ru...
Alena Neviarouskaya, Helmut Prendinger, Mitsuru Is...
The use of heuristics as a means to improve constraint solver performance has been researched widely. However, most work has been on problem-independentheuristics (e.g., variable ...
Lise Getoor, Greger Ottosson, Markus P. J. Fromher...