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» Unsupervised Learning of Relations
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89
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ICML
2004
IEEE
16 years 1 months ago
Bellman goes relational
Motivated by the interest in relational reinforcement learning, we introduce a novel relational Bellman update operator called ReBel. It employs a constraint logic programming lan...
Kristian Kersting, Martijn Van Otterlo, Luc De Rae...
CVPR
2008
IEEE
16 years 2 months ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...
SIGDIAL
2010
14 years 10 months ago
The Effects of Discourse Connectives Prediction on Implicit Discourse Relation Recognition
Implicit discourse relation recognition is difficult due to the absence of explicit discourse connectives between arbitrary spans of text. In this paper, we use language models to...
Zhi Min Zhou, Man Lan, Zhengyu Niu, Yu Xu, Jian Su
81
Voted
ICML
1998
IEEE
16 years 1 months ago
Relational Reinforcement Learning
Relational reinforcement learning (RRL) is both a young and an old eld. In this paper, we trace the history of the eld to related disciplines, outline some current work and promis...
Kurt Driessens
82
Voted
IJCAI
2001
15 years 2 months ago
Relational Learning via Propositional Algorithms: An Information Extraction Case Study
This paper develops a new paradigm for relational learning which allows for the representation and learning of relational information using propositional means. This paradigm sugg...
Dan Roth, Wen-tau Yih