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AAAI
2010
13 years 11 months ago
Transfer Learning in Collaborative Filtering for Sparsity Reduction
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Y...
ICML
2007
IEEE
14 years 10 months ago
Reinforcement learning by reward-weighted regression for operational space control
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
Jan Peters, Stefan Schaal
DPD
2006
123views more  DPD 2006»
13 years 10 months ago
Reducing network traffic in unstructured P2P systems using Top-k queries
A major problem of unstructured P2P systems is their heavy network traffic. This is caused mainly by high numbers of query answers, many of which are irrelevant for users. One solu...
Reza Akbarinia, Esther Pacitti, Patrick Valduriez
CIKM
2008
Springer
13 years 12 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
IEAAIE
2009
Springer
14 years 4 months ago
RFID Technology and AI Techniques for People Location, Orientation and Guiding
One of the main problems that we have to face when visiting public or official buildings (i.e hospitals or public administrations) is the lack of information and signs that can gui...
M. D. R-Moreno, Bonifacio Castaño, Melquiad...