4660 search results - page 167 / 932 » Learning from imperfect data |
118
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EPIA
2003
Springer
15 years 9 months ago
2003
Springer
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
146
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AAAI
2004
15 years 5 months ago
2004
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
171
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ML
2010
ACM
15 years 2 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
125
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KDD
2008
ACM
16 years 4 months ago
2008
ACM
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
153
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GRC
2010
IEEE
15 years 5 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...