3114 search results - page 328 / 623 » Distributed Case-Based Learning |
130
Voted
IJCNN
2007
IEEE
15 years 9 months ago
2007
IEEE
—Default ARTMAP combines winner-take-all category node activation during training, distributed activation during testing, and a set of default parameter values that define a read...
110
Voted
ECML
2007
Springer
15 years 8 months ago
2007
Springer
In this paper we address a method of source separation in the case where sources have certain temporal structures. The key contribution in this paper is to incorporate Gaussian pro...
109
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We address the problem of evaluating the risk of a given model accurately at minimal labeling costs. This problem occurs in situations in which risk estimates cannot be obtained f...
102
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JMLR
2002
15 years 2 months ago
2002
Shallow parsers are usually assumed to be trained on noise-free material, drawn from the same distribution as the testing material. However, when either the training set is noisy ...
123
Voted
KDD
2004
ACM
16 years 3 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...