A dual-stream fully convolutional network produces competitive character error rates on IAM and RIMES handwriting datasets while avoiding CTC, dictionaries, and heavy preprocessing.
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Report summarizing varied ML approaches (neural nets, boosting, CNN-LSTM) used by top teams in a stock ranking competition evaluated on Spearman's correlation and NDCG.
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Fully Convolutional Networks for Handwriting Recognition
A dual-stream fully convolutional network produces competitive character error rates on IAM and RIMES handwriting datasets while avoiding CTC, dictionaries, and heavy preprocessing.
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Investment Ranking Challenge: Identifying the best performing stocks based on their semi-annual returns
Report summarizing varied ML approaches (neural nets, boosting, CNN-LSTM) used by top teams in a stock ranking competition evaluated on Spearman's correlation and NDCG.