1134 search results - page 154 / 227 » Sequential Inductive Learning |
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
HPCA
2008
IEEE
15 years 10 months ago
2008
IEEE
We apply Amdahl's Law to multicore chips using symmetric cores, asymmetric cores, and dynamic techniques that allows cores to work together on sequential execution. To Amdahl...
CVPR
2008
IEEE
15 years 12 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
SAGA
2001
Springer
15 years 2 months ago
2001
Springer
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
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AII
1992
15 years 2 months ago
1992
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...