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» Learning and using relational theories
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NIPS
2000
14 years 11 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths
NAACL
2010
14 years 8 months ago
Taxonomy Learning Using Word Sense Induction
Taxonomies are an important resource for a variety of Natural Language Processing (NLP) applications. Despite this, the current stateof-the-art methods in taxonomy learning have d...
Ioannis P. Klapaftis, Suresh Manandhar
PRDC
2009
IEEE
15 years 4 months ago
Quantifying Criticality of Dependability-Related IT Organization Processes in CobiT
—With ever-growing complexity of computer and communication systems analytical methods do not scale, especially with respect to dependability assessment of information technology...
Tobias Goldschmidt, Andreas Dittrich, Miroslaw Mal...
CVPR
2008
IEEE
16 years 5 days ago
Consistent image analogies using semi-supervised learning
In this paper we study the following problem: given two source images A and A , and a target image B, can we learn to synthesize a new image B which relates to B in the same way t...
Li Cheng, S. V. N. Vishwanathan, Xinhua Zhang
IJCAI
2007
14 years 11 months ago
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
Manu Sharma, Michael P. Holmes, Juan Carlos Santam...