437 search results - page 37 / 88 » Using Inverse Resolution to Learn Relations from Experiments |
77
Voted
KDD
2009
ACM
15 years 4 months ago
2009
ACM
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
IVC
2006
14 years 9 months ago
2006
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
BMCBI
2010
14 years 9 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...