696 search results - page 16 / 140 » Probabilistic-Logic Models: Reasoning and Learning with Rela... |
ICCBR
2001
Springer
15 years 2 months ago
2001
Springer
It is useful for an intelligent software agent to be able to adapt to new demands from an environment. Such adaptation can be viewed as a redesign problem; an agent has some origin...
ICDM
2005
IEEE
15 years 3 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...
AAAI
2006
14 years 11 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...
106
click to vote
AAAI
2008
15 years 3 days ago
2008
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
CIKM
1999
Springer
15 years 2 months ago
1999
Springer
The paper is concerned with the qualitative representation of spatiotemporal relations. We initially propose a multiresolution framework for the representation of relations among ...