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190
Voted
NIPS
1998
15 years 8 months ago
1998
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
175
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NIPS
1994
15 years 8 months ago
1994
We present a statistical method that PAC learns the class of stochastic perceptrons with arbitrary monotonic activation function and weights wi {-1, 0, +1} when the probability d...
183
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ICML
2010
IEEE
15 years 8 months ago
2010
IEEE
We are interested in learning programs for multiple related tasks given only a few training examples per task. Since the program for a single task is underdetermined by its data, ...
175
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ICASSP
2010
IEEE
15 years 7 months ago
2010
IEEE
In this work, we look at single user and multiuser Multiple-Input Multiple-Output (MIMO) beamforming networks with Channel Distribution Information (CDI). CDI does not need to be ...
191
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ICANN
2010
Springer
15 years 7 months ago
2010
Springer
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...