Mar 7, 2023 · This article proposes a judgment prediction method based on tensor decomposition with optimized neural networks, which consists of OTenr, GTend, ...
This article proposes a judgment prediction method based on tensor decomposition with optimized neural networks, which consists of. OTenr, GTend, and RnEla.
This article proposes a judgment prediction method based on tensor decomposition with optimized neural networks, which consists of OTenr, GTend, and RnEla, ...
Nov 14, 2024 · Judgment Prediction Based on Tensor Decomposition With Optimized Neural Networks https://ifoxprojects.com/ IEEE PROJECTS 2024-2025 TITLE ...
Judgment Prediction Based on Tensor Decomposition With Optimized Neural Networks. 最適化ニューラルネットワークによるテンソル分解に基づく判断予測【JST機械翻訳】.
This paper proposes a new algorithm based on innovative tensor decomposition and ridge regression for judgment prediction of legal cases, namely, TenRR. TenRR ...
This survey provides an overview of higher-order tensor decompositions, their applications, and available software.
Judgment prediction from legal documents using Texas wolf ...
journals.sagepub.com › abs › IDT-230566
Employing a deep BiLSTM classifier (TWO-BiLSTM) model based on Texas wolf optimization, the research aims to predict legal judgments.
This paper proposes a new algorithm based on innovative tensor decomposition and ridge regression for judgment prediction of legal cases, namely, TenRR, ...
The study in this paper reviews the challenges faced by judgment prediction system due to lengthy case facts using deep learning model. The Legal Judgment ...