139 search results - page 8 / 28 » On the Generalization Ability of On-Line Learning Algorithms |
ATAL
2009
Springer
15 years 6 months ago
2009
Springer
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
AAAI
2007
15 years 2 months ago
2007
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...
161
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SIGMOD
2008
ACM
15 years 12 months ago
2008
ACM
In this demonstration, we will present LEARNPADS, a fully automatic system for generating ad hoc data processing tools. When presented with a collection of ad hoc data, the system...
107
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DAGSTUHL
2007
15 years 1 months ago
2007
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...
ICONIP
2009
14 years 9 months ago
2009
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...