2878 search results - page 295 / 576 » Learning the Common Structure of Data |
200
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UAI
2000
15 years 8 months ago
2000
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
191
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SIGCSE
2008
ACM
15 years 5 months ago
2008
ACM
We present the design and development of a Visual Learning Engine, a tool that can form the basis for interactive development of visually rich teaching and learning modules across...
183
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CTCS
1987
Springer
15 years 10 months ago
1987
Springer
of this paper is to prevent the abstract data type researcher from an improper, naive use of category theory. We mainly emphasize some unpleasant properties of the synthesis funct...
184
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MM
2004
ACM
16 years 17 hour ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
181
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NIPS
2007
15 years 8 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...