1900 search results - page 200 / 380 » Gaussian Processes in Machine Learning |
110
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COLT
1992
Springer
15 years 4 months ago
1992
Springer
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
ECTEL
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. Adaptive Hypermedia content offers personalization; however, (re)using such material with regular Learning Management Systems (LMS) is not yet straightforward. Ideally, m...
91
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IJCAI
2007
15 years 1 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
109
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
115
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ICML
2007
IEEE
16 years 1 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...