3949 search results - page 312 / 790 » Machine Learning and Data Mining |
136
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
168
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ICML
1995
IEEE
16 years 4 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
142
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
188
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ICDE
2006
IEEE
16 years 5 months ago
2006
IEEE
In this paper, we introduce a new class of data mining problems called learning from aggregate views. In contrast to the traditional problem of learning from a single table of tra...
114
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AUSAI
2007
Springer
15 years 10 months ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...