1548 search results - page 163 / 310 » Supervised Tensor Learning |
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DAGM
2007
Springer
15 years 11 months ago
2007
Springer
We propose an unsupervised “local learning” algorithm for learning a metric in the input space. Geometrically, for a given query point, the algorithm finds the minimum volume ...
140
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ICANN
2005
Springer
15 years 10 months ago
2005
Springer
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...
124
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MLDM
2005
Springer
15 years 10 months ago
2005
Springer
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
125
Voted
EPIA
2003
Springer
15 years 10 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...
115
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AI
2006
Springer
15 years 8 months ago
2006
Springer
Gliomas are diffuse, invasive brain tumors. We propose a 3D classification-based diffusion model, cdm, that predicts how a glioma will grow at a voxel-level, on the basis of featur...