2518 search results - page 317 / 504 » Machine learning in sedimentation modelling |
157
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ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
147
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COLT
2005
Springer
16 years 2 days ago
2005
Springer
The paper deals with the following problem: is returning to wrong conjectures necessary to achieve full power of algorithmic learning? Returning to wrong conjectures complements t...
208
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NEUROSCIENCE
2001
Springer
15 years 11 months ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
187
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SIGIR
2010
ACM
15 years 10 months ago
2010
ACM
Generative models such as statistical language modeling have been widely studied in the task of expert search to model the relationship between experts and their expertise indicat...
172
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ESSMAC
2003
Springer
15 years 11 months ago
2003
Springer
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...