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ABIALS
2008
Springer
15 years 6 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
122
Voted
ICALT
2005
IEEE
15 years 9 months ago
An Ontology-Based Approach to Supporting Didactics in E-Learning Systems
Recent developments in E-Learning systems aim at providing a better support for didactics-aware learning scenarios. Typically, in order to provide that support the number and comp...
Denis Helic
141
Voted
LREC
2010
145views Education» more  LREC 2010»
15 years 5 months ago
Generic Ontology Learners on Application Domains
In ontology learning from texts, we have ontology-rich domains where we have large structured domain knowledge repositories or we have large general corpora with large general str...
Francesca Fallucchi, Maria Teresa Pazienza, Fabio ...
AAAI
2012
13 years 6 months ago
Transfer Learning in Collaborative Filtering with Uncertain Ratings
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Weike Pan, Evan Wei Xiang, Qiang Yang
135
Voted
WWW
2001
ACM
16 years 4 months ago
An intelligent distributed environment for active learning
Active learning is an e ective learning approach. In this paper, we present an intelligent agent assisted environment for active learning. The system is to better support studentc...
Yi Shang, Hongchi Shi, Su-Shing Chen