1413 search results - page 177 / 283 » A Theory for Memory-Based Learning |
172
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COLT
1999
Springer
15 years 10 months ago
1999
Springer
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
201
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NIPS
2004
15 years 7 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...
227
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AIEDU
2010
15 years 1 months ago
2010
: This paper describes a Conceptual Framework underpinning "Systems that Care" in terms of educational systems that take account of motivation, metacognition and affect, ...
211
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KDD
2007
ACM
16 years 6 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
163
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ATAL
2009
Springer
16 years 28 days ago
2009
Springer
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...