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» Learning and using relational theories
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PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 4 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
209
Voted
INTERSPEECH
2010
15 years 1 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
ACL
2012
13 years 9 months ago
Exploiting Social Information in Grounded Language Learning via Grammatical Reduction
This paper uses an unsupervised model of grounded language acquisition to study the role that social cues play in language acquisition. The input to the model consists of (orthogr...
Mark Johnson, Katherine Demuth, Michael C. Frank
MSR
2005
ACM
16 years 13 days ago
Mining version histories to verify the learning process of Legitimate Peripheral Participants
Since code revisions reflect the extent of human involvement in the software development process, revision histories reveal the interactions and interfaces between developers and...
Shih-Kun Huang, Kang-min Liu
WEBI
2005
Springer
16 years 10 days ago
User Navigational Behavior in e-Learning Virtual Environments
In this paper we describe the navigational behavior of the students of a e-learning virtual environment, in order to determine whether such navigational patterns are related to th...
Joan Marc Carbó, Enric Mor, Julià Mi...