1614 search results - page 17 / 323 » Learning Rules and Their Exceptions |
57
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IDEAL
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. One of the objectives of intelligent data engineering and automated learning is to develop algorithms that learn the environment, generate rules, and take possible course...
100
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NIPS
2004
14 years 11 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
72
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NIPS
2000
14 years 11 months ago
2000
The paradigm of Hebbian learning has recently received a novel interpretation with the discovery of synaptic plasticity that depends on the relative timing of pre and post synapti...
COLING
1996
1996
Unsupervised Discovery of Phonological Categories through Supervised Learning of Morphological Rules
14 years 11 months ago
We describe a case study in tit(', application of symbolic machinc learning techniques for the discow;ry of linguistic rules and categories. A supervised rule induction algor...
AI
2001
Springer
15 years 2 months ago
2001
Springer
We present our experience in applying a rule induction technique to an extremely imbalanced pharmaceutical data set. We focus on using a variety of performance measures to evaluate...