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07/27/2023
f-Divergence Minimization for Sequence-Level Knowledge Distillation
Knowledge distillation (KD) is the process of transferring knowledge fro...
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11/29/2022
Optimizing Stock Option Forecasting with the Assembly of Machine Learning Models and Improved Trading Strategies
This paper introduced key aspects of applying Machine Learning (ML) mode...
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08/25/2022
Application of Convolutional Neural Networks with Quasi-Reversibility Method Results for Option Forecasting
This paper presents a novel way to apply mathematical finance and machin...
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04/18/2021
Linguistic dependencies and statistical dependence
What is the relationship between linguistic dependencies and statistical...
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05/12/2020
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
It is commonly believed that knowledge of syntactic structure should imp...
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03/07/2018
