explainable machine learning

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Protected: Explainable Machine Learning (18)Adversarial Examples

Explainable Machine Learning with Adversarial Sample Approach utilized for Digital Transformation, Artificial Intelligence, and Machine Learning tasks Cyber Security, Surrogate Models, Neural Networks, Black Box Attack, Expectation Over Transformation algorithm, EOT, InceptionV3, TensorFlow, Fast gradient method, VGG16 classifier, ImageNet, adversarial patch, 1-pixel attack, L-BFGS method, Fast gradient sign method
アルゴリズム:Algorithms

Protected: Explainable Artificial Intelligence (14)Model Independent Interpretation (Scoped Rules (Anchors))

Model-independent interpretation with Anchor as explainable machine learning leveraged for digital transformation, artificial intelligence, and machine learningtasks Python, anchor, Alibi, Java, Anchors, BatchSAR, tabular data, Multi-Armed Bandit, KL-LUCB, reinforcement learning, graph search algorithms, LIME
推論技術:inference Technology

Concrete and Abstract – natural language sematics and explain

Concrete and abstract to consider the meaning of natural language and explainable machine learning that can be used for digital transformation and artificial intelligence tasks.
スパースモデリング

Protected: Sparse modeling and multivariate analysis (1) Differences in model fit and prediction performance and lasso

Artificial Intelligence (AI), Machine Learning (ML), especially sparse modeling (L2 regularization (ridge regression)) and L1 regularization (lasso), which can be used as explainable machine learning, from the point of view of model fitting.
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