8970 search results - page 373 / 1794 » Learning to Learn Causal Models |
167
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CORR
2010
Springer
15 years 7 months ago
2010
Springer
We present an approach to semi-supervised learning based on an exponential family characterization. Our approach generalizes previous work on coupled priors for hybrid generative/...
153
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MANSCI
2006
15 years 6 months ago
2006
This paper presents a new information acquisition problem motivated by business applications where customer data has to be acquired with a specific modeling objective in mind. In ...
184
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
A variety of flexible models have been proposed to detect
objects in challenging real world scenes. Motivated
by some of the most successful techniques, we propose a
hierarchica...
181
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
186
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ICML
2004
IEEE
16 years 7 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...