92 search results - page 7 / 19 » Large Graph Construction for Scalable Semi-Supervised Learni... |
BIBM
2009
IEEE
14 years 2 months ago
2009
IEEE
Background: Similaritysearch in chemical structure databases is an important problem with many applications in chemical genomics, drug design, and efficient chemical probe screeni...
SAC
2009
ACM
14 years 2 months ago
2009
ACM
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
BIBM
2010
IEEE
13 years 5 months ago
2010
IEEE
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
This paper proposes a novel approach to constructing a hierarchical representation of visual input that aims to enable recognition and detection of a large number of object catego...
IJCAI
2003
13 years 9 months ago
2003
Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...