2518 search results - page 196 / 504 » Machine learning in sedimentation modelling |
151
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AAAI
2008
15 years 8 months ago
2008
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...
151
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ICTAI
2009
IEEE
16 years 1 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
203
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ALT
2002
Springer
16 years 3 months ago
2002
Springer
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
184
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
198
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AI
2006
Springer
15 years 6 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...