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74
Voted
EMNLP
2009
14 years 8 months ago
2009
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
182
Voted
ICCV
2011
IEEE
13 years 10 months ago
2011
IEEE
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
72
Voted
HRI
2006
ACM
15 years 4 months ago
2006
ACM
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
105
click to vote
EMNLP
2011
13 years 10 months ago
2011
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
122
click to vote
PPSN
1994
Springer
15 years 2 months ago
1994
Springer
We present the Genetic L-System Programming (GLP) paradigm for evolutionary creation and development of parallel rewrite systems (Lsystems, Lindenmayer-systems) which provide a com...