1601 search results - page 65 / 321 » Learning Gaussian processes from multiple tasks |
155
Voted
ICTAI
2008
IEEE
15 years 9 months ago
2008
IEEE
Ontologies are a well-motivated formal representation to model knowledge needed to extract and encode data from text. Yet, their tight integration with Information Extraction (IE)...
127
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KDD
2004
ACM
16 years 3 months ago
2004
ACM
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
139
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GRC
2010
IEEE
15 years 4 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
140
Voted
ICML
1999
IEEE
16 years 4 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
129
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...