How to Shift Bias: Lessons from the Baldwin Effect
نویسندگان
چکیده
منابع مشابه
How to Shift Bias: Lessons from the Baldwin Effect
An inductive learning algorithm takes a set of data as input and generates a hypothesis as output. A set of data is typically consistent with an infinite number of hypotheses; therefore, there must be factors other than the data that determine the output of the learning algorithm. In machine learning, these other factors are called the bias of the learner. Classical learning algorithms have a f...
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ژورنال
عنوان ژورنال: Evolutionary Computation
سال: 1996
ISSN: 1063-6560,1530-9304
DOI: 10.1162/evco.1996.4.3.271