321 search results - page 57 / 65 » Learning Bayesian Networks with Local Structure |
89
Voted
JMLR
2010
14 years 4 months ago
2010
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
102
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SIGMOD
2010
ACM
15 years 2 months ago
2010
ACM
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
ICIP
1998
IEEE
15 years 11 months ago
1998
IEEE
In this work, a framework for the reconstruction of smooth surface shapes from shading images is presented. The method is based on using a backpropagationbased neural network for ...
86
Voted
HYBRID
1998
Springer
15 years 1 months ago
1998
Springer
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
106
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DCOSS
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...