2518 search results - page 180 / 504 » Machine learning in sedimentation modelling |
148
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ALT
2009
Springer
15 years 9 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
201
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
155
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ALT
1999
Springer
15 years 10 months ago
1999
Springer
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
167
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ECML
2004
Springer
15 years 12 months ago
2004
Springer
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...
154
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EMNLP
2010
15 years 4 months ago
2010
We present a machine learning approach for the task of ranking previously answered questions in a question repository with respect to their relevance to a new, unanswered referenc...