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212
Voted
Publication
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
171
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IR
2011
14 years 7 months ago
2011
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
76
Voted
COMBINATORICA
2010
14 years 6 months ago
2010
Let s, t, m, n be positive integers such that sm = tn. Let M(m, s; n, t) be the number of m
107
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JMLR
2010
14 years 7 months ago
2010
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
133
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...