Search Results for author:
Found 4 papers, 0 papers with code
Distributed Averaging CNN-ELM for Big Data
This approach also increased the scalability of machine learning by combining scale out and scale up approaches.
Adaptive Convolutional ELM For Concept Drift Handling in Online Stream Data
We propose an Adaptive OS-ELM (AOS-ELM) for concept drift adaptability in classifier level (named ACNNELM-1) and matrices concatenation ensembles for concept drift adaptability in ensemble level (named ACNNELM-2).
Adaptive Online Sequential ELM for Concept Drift Tackling
In this paper, we propose concept drift tackling method as an enhancement of Online Sequential Extreme Learning Machine (OS-ELM) and Constructive Enhancement OS-ELM (CEOS-ELM) by adding adaptive capability for classification and regression problem.
A New Data Representation Based on Training Data Characteristics to Extract Drug Named-Entity in Medical Text
In addition, the medical text mining poses more challenges, e. g., more unstructured text, the fast growing of new terms addition, a wide range of name variation for the same drug.
