Characterizing selectivity of S1 neurons in mlutidimensional sensory feature space
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چکیده
منابع مشابه
Characterizing Model Performance in the Feature Space
A fundamental problem in machine learning is understanding the conditions for which a learning algorithm works well. Understanding an algorithm's strengths and weaknesses and being able to compare two algorithms with each other are necessary for designers to develop (or select) learning algorithms for a speci c problem. Generally, one can attempt to analyze and understand algorithms either theo...
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ژورنال
عنوان ژورنال: IBRO Reports
سال: 2019
ISSN: 2451-8301
DOI: 10.1016/j.ibror.2019.07.880