1864 search results - page 46 / 373 » Modeling Classification and Inference Learning |
116
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AIRS
2006
Springer
15 years 4 months ago
2006
Springer
Many text documents naturally have two kinds of labels. For example, we may label web pages from universities according to their categories, such as "student" or "fa...
NIPS
2004
15 years 1 months ago
2004
We describe how we used a data set of chorale harmonisations composed by Johann Sebastian Bach to train Hidden Markov Models. Using a probabilistic framework allows us to create a...
107
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
136
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ESOP
2011
Springer
14 years 4 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
124
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IEEEICCI
2002
IEEE
15 years 5 months ago
2002
IEEE
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...