Learning with similarity functions: A novel design for the extreme learning machine
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DOI: 10.1007/978-3-319-28397-5_21
Abstract: This research analyzes the affinities between two well-known learning schemes that apply randomization in the training process, namely, Extreme Learning Machines (ELMs) and the learning framework using similarity functions. These paradigms share a common approach… read more here.
Keywords: similarity; extreme learning; similarity functions; functions novel ... See more keywords
Learning with Similarity Functions: a Tensor-Based Framework
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DOI: 10.1007/s12559-018-9590-9
Abstract: Machine learning algorithms are typically designed to deal with data represented as vectors. Several major applications, however, involve multi-way data, such as video sequences and multi-sensory arrays. In those cases, tensors endow a more consistent… read more here.
Keywords: learning similarity; tensor based; similarity; based framework ... See more keywords