791 search results - page 7 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
BMCBI
2010
13 years 9 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
ISF
2006
13 years 9 months ago
2006
ACL
2010
13 years 7 months ago
2010
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
KDD
2010
ACM
14 years 25 days ago
2010
ACM
In this paper, we propose a new probabilistic generative model, called Topic-Perspective Model, for simulating the generation process of social annotations. Different from other g...
AAAI
2012
11 years 11 months ago
2012
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...