Study on suitability and importance of multilayer extreme learning machine for classification of text data
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DOI: 10.1007/s00500-016-2189-8
Abstract: The dynamic Web, which contains huge number of digital documents, is expanding day by day. Thus, it has become a tough challenge to search for a particular document from such a large volume of collections.… read more here.
Keywords: classification; feature selection; feature; text data ... See more keywords
Weakly paired multimodal fusion using multilayer extreme learning machine
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DOI: 10.1007/s00500-018-3108-y
Abstract: Multimodal data have recently become nearly ubiquitous in the real world. Exploring the multimodal fusion is beneficial to improve the performance of the system. However, it is difficult to ensure that data collected from different… read more here.
Keywords: multimodal fusion; extreme learning; paired multimodal; weakly paired ... See more keywords
Empirical kernel map-based multilayer extreme learning machines for representation learning
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DOI: 10.1016/j.neucom.2018.05.032
Abstract: Abstract Recently, multilayer extreme learning machine (ML-ELM) and hierarchical extreme learning machine (H-ELM) were developed for representation learning whose training time can be reduced from hours to seconds compared to traditional stacked autoencoder (SAE). However,… read more here.
Keywords: representation learning; kernel; extreme learning; layer ... See more keywords