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IAT
2009
IEEE
15 years 8 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 2 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 5 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 4 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
15 years 11 months 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