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Similarity Based Stratified Splitting: an approach to train better classifiers
We propose a Similarity-Based Stratified Splitting (SBSS) technique, which uses both the output and input space information to split the data.
Towards Automatic Clustering Analysis using Traces of Information Gain: The InfoGuide Method
Clustering analysis has become a ubiquitous information retrieval tool in a wide range of domains, but a more automatic framework is still lacking.
Characterizing the Social Interactions in the Artificial Bee Colony Algorithm
Recent advances in the literature, however, have proposed to study these systems via the network that emerges from the social interactions within the swarm (i. e., the interaction network).
Uncovering the Social Interaction in Swarm Intelligence with Network Science
Here, we address this gap by introducing a network-based framework---the interaction network---to examine computational swarm-based systems via the optics of the social dynamics of such interaction network; a clear example of network science being applied to bring further clarity to a complicated field within artificial intelligence.
