なぜ必要なのか？ 行列因子分解は、大規模なデータセットを解析し、潜在的な特徴を抽出するための強力な手法です。この技術は、推薦システム、画像処理、テキスト分析など、多岐にわたる分野で活用されています。しかし、データの規模や複雑性が ...

Abstract: Tensor factorization-based data completion methods have found extensive application in cyber-physical-social systems (CPSS), particularly in intelligent transportation systems. However, most ...

1 School of Computer Science, Qufu Normal University, Rizhao, China 2 School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China Pancreatic cancer (PC) is a highly ...

Abstract: In this paper, we introduce Factorization Machines (FM) which are a new model class that combines the advantages of Support Vector Machines (SVM) with factorization models. Like SVMs, FMs ...

Many modern encryption algorithms (including RSA) rely on the assumption that factoring large integers is computationally intractable. This is true to classical computers, but the Shor's algorithm ...

NTFk is a module of the SmartTensors ML framework (smarttensors.com). NTFk performs a novel unsupervised Machine Learning (ML) method based on Tensor Decomposition (Factorization) coupled with ...