1454 search results - page 96 / 291 » Learning with cost intervals |
169
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ESANN
2006
15 years 6 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
160
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ICML
2006
IEEE
16 years 6 months ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
124
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IADIS
2004
15 years 6 months ago
2004
The purpose of the study was to determine public university South Dakota (USA) distance faculty perceptions regarding intended level of learning objectives for four selected modes...
142
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PKDD
2010
Springer
15 years 3 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
186
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AAAI
2012
13 years 7 months ago
2012
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...