3250 search results - page 206 / 650 » Parameterized Learning Complexity |
143
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STOC
2004
ACM
16 years 6 months ago
2004
ACM
The perceptron algorithm, developed mainly in the machine learning literature, is a simple greedy method for finding a feasible solution to a linear program (alternatively, for le...
172
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
197
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ITS
2004
Springer
15 years 12 months ago
2004
Springer
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
196
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NIPS
2001
15 years 8 months ago
2001
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
189
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...