LGJun 3, 2017

Swarm Intelligence in Semi-supervised Classification

arXiv:1706.00998v12 citations
Originality Synthesis-oriented
AI Analysis

It organizes knowledge for researchers interested in swarm intelligence and semi-supervised learning, but is incremental as it reviews existing work.

This paper provides a literature review on the application of swarm intelligence algorithms in semi-supervised classification, summarizing existing research without presenting new results or concrete numbers.

This Paper represents a literature review of Swarm intelligence algorithm in the area of semi-supervised classification. There are many research papers for applying swarm intelligence algorithms in the area of machine learning. Some algorithms of SI are applied in the area of ML either solely or hybrid with other ML algorithms. SI algorithms are also used for tuning parameters of ML algorithm, or as a backbone for ML algorithms. This paper introduces a brief literature review for applying swarm intelligence algorithms in the field of semi-supervised learning

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes