2512 search results - page 130 / 503 » Learning from Highly Structured Data by Decomposition |
ISMDA
2001
Springer
15 years 2 months ago
2001
Springer
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...
ACL
2010
14 years 7 months ago
2010
One of the main obstacles to producing high quality joint models is the lack of jointly annotated data. Joint modeling of multiple natural language processing tasks outperforms si...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
BMCBI
2010
14 years 10 months ago
2010
Background: Genome sequencing projects have expanded the gap between the amount of known protein sequences and structures. The limitations of current high resolution structure det...
IJON
2010
14 years 8 months ago
2010
This paper presents varifold learning, a learning framework based on the mathematical concept of varifolds. Different from manifold based methods, our varifold learning framework ...