716 search results - page 107 / 144 » Optimizing Sorting with Machine Learning Algorithms |
137
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JMLR
2008
15 years 1 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
120
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
103
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IJCNN
2000
IEEE
15 years 6 months ago
2000
IEEE
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
109
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
141
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ASSETS
2007
ACM
15 years 6 months ago
2007
ACM
We address the practical problem of automating the process of translating figures from mathematics, science, and engineering textbooks to a tactile form suitable for blind student...