3378 search results - page 108 / 676 » Learning in Friedberg Numberings |
205
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ICCV
2005
IEEE
16 years 8 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
204
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
143
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WEBI
2004
Springer
15 years 11 months ago
2004
Springer
— Distributed data mining has recently caught a lot of attention as there are many cases where pooling distributed data for mining is probibited, due to either huge data volume o...
158
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AAAI
2010
15 years 7 months ago
2010
Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose syste...
165
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AAAI
1992
15 years 7 months ago
1992
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...