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IAT
2009
IEEE
15 years 10 months ago
The Benefits of Opponent Models in Negotiation
Information about the opponent is essential to improve automated negotiation strategies for bilateral multiissue negotiation. In this paper we propose a negotiation strategy that e...
Koen V. Hindriks, Catholijn M. Jonker, Dmytro Tykh...
PKDD
2010
Springer
122views Data Mining» more  PKDD 2010»
15 years 4 months ago
Exploration in Relational Worlds
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
Tobias Lang, Marc Toussaint, Kristian Kersting
ICPR
2004
IEEE
16 years 7 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
CHI
2008
ACM
16 years 6 months ago
Implementing eye-based user-aware e-learning
We propose an e-learning scenario where eye tracking is exploited to get valuable data about user behavior. What we look at -- as well as how we do that -- can in fact be used to ...
Marco Porta
CSSE
2008
IEEE
16 years 21 days ago
A Study of E-learning Architecture Based on Knowledge Innovation
—This paper reveals weaknesses of existing e-learning system and puts forward a novel architecture of five layers from the perspective of knowledge innovation. Learner interface ...
Qinglong Zhan, Chengyang Chang