Instantaneously Trained Neural Networks
<|reference_start|>Instantaneously Trained Neural Networks: This paper presents a review of instantaneously trained neural networks (ITNNs). These networks trade learning time for size and, in the basic model, a new hidden node is created for each training sample. Various versions of the corner-classification family of ITNNs, which have found applications in artificial intelligence (AI), are described. Implementation issues are also considered.<|reference_end|>
@article{ponnath2006instantaneously,
    title={Instantaneously Trained Neural Networks},
    author={Abhilash Ponnath},
    journal={arXiv preprint arXiv:cs/0601129},
    year={2006},
    archivePrefix={arXiv},
    eprint={cs/0601129},
    primaryClass={cs.NE cs.AI}
}