702 search results - page 29 / 141 » Learning Probabilistic Models of Relational Structure |
101
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ICDM
2005
IEEE
15 years 6 months ago
2005
IEEE
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
104
Voted
CEC
2009
IEEE
15 years 7 months ago
2009
IEEE
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
96
Voted
ICML
1997
IEEE
16 years 1 months ago
1997
IEEE
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
86
Voted
AAAI
2006
15 years 1 months ago
2006
We present a cognitive model that bridges work in analogy and category learning. The model, Building Relations through Instance Driven Gradient Error Shifting (BRIDGES), extends A...
90
Voted
ICCV
2005
IEEE
15 years 6 months ago
2005
IEEE
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...