2878 search results - page 109 / 576 » Learning the Common Structure of Data |
105
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ALT
2008
Springer
16 years 16 days ago
2008
Springer
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
130
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IJCAI
2007
15 years 5 months ago
2007
This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...
154
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AAAI
2011
14 years 3 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
137
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NIPS
2003
15 years 5 months ago
2003
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
131
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ML
2008
ACM
15 years 3 months ago
2008
ACM
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...