2512 search results - page 228 / 503 » Learning from Highly Structured Data by Decomposition |
164
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INTERSPEECH
2010
14 years 11 months ago
2010
This paper presents our experiments in question answering for speech corpora. These experiments focus on improving the answer extraction step of the QA process. We present two app...
134
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
138
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
184
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IROS
2006
IEEE
15 years 10 months ago
2006
IEEE
— To operate outdoors or on non-flat surfaces, mobile robots need appropriate data structures that provide a compact representation of the environment and at the same time suppo...
112
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MICCAI
2007
Springer
2007
Springer
Customised Cytoarchitectonic Probability Maps Using Deformable Registration: Primary Auditory Cortex
16 years 5 months ago
A novel method is presented for creating a probability map from histologically defined cytoarchitectonic data, customised for the anatomy of individual fMRI volunteers. Postmortem ...