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IVCNZ
1998
15 years 8 months ago
On Comparing Two Scenarios for Probabilistic Image Modelling
Traditional scenario of probabilistic modelling is directed at generating samples having a given probability distribution. We argue that this scenario is impracticable for image m...
Georgy L. Gimel'farb
UAI
1998
15 years 8 months ago
Learning Mixtures of DAG Models
We describe computationally efficient methods for learning mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs). We argue that simple...
Bo Thiesson, Christopher Meek, David Maxwell Chick...
COGSCI
2010
114views more  COGSCI 2010»
15 years 7 months ago
Strudel: A Corpus-Based Semantic Model Based on Properties and Types
Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meani...
Marco Baroni, Brian Murphy, Eduard Barbu, Massimo ...
ENTCS
2008
92views more  ENTCS 2008»
15 years 7 months ago
A Process Model of Rho GTP-binding Proteins in the Context of Phagocytosis
At the early stages of the phagocytic signalling, Rho GTP-binding proteins play a key role. With the stimulus from the cell membrane and with the help from the regulators (GEF, GA...
Luca Cardelli, Philippa Gardner, Ozan Kahramanogul...
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ACL
2009
15 years 4 months ago
A global model for joint lemmatization and part-of-speech prediction
We present a global joint model for lemmatization and part-of-speech prediction. Using only morphological lexicons and unlabeled data, we learn a partiallysupervised part-of-speec...
Kristina Toutanova, Colin Cherry