關於 interpretable machine learning ，我們在網路上蒐集到這些相關的討論、資訊與評價

#11. MLSS 2021 Taipei- Interpretable machine learning ( Been Kim )

MLSS 2021 Taipei online courseTime: 8/13(Fri), 10:30-12:00Speaker: Been KimTitle: Interpretable machine learning.

#12. Interpretable and Explainable Machine Learning for Materials ...

Interpretability is a desirable characteristic of ML models in experimental contexts as it facilitates tasks such as characterization, ...

#13. Review on Interpretable Machine Learning in Smart Grid - MDPI

The representation ability of machine learning algorithms is greatly improved, but with the increase of model complexity, the interpretability of machine ...

#14. Interpretable machine learning prediction of all-cause mortality

1), which improves the interpretability of complex machine learning models for mortality prediction. We combine an accurate, ...

#15. Interpretable Machine Learning | Papers With Code

The goal of Interpretable Machine Learning is to allow oversight and understanding of machine-learned decisions. Much of the work in Interpretable Machine ...

#16. Interpretable Machine Learning (Second Edition) - Leanpub

This book is essential for machine learning practitioners, data scientists, statisticians, and anyone interested in making their machine ...

#17. Interpretable machine learning: Fundamental principles and ...

Interpretable machine learning : Fundamental principles and 10 grand challenges. ∗. Cynthia Rudin, Chaofan Chen, Zhi Chen, Haiyang Huang, Lesia.

#18. Interpretability in Machine Learning: An Overview - The Gradient

Broadly, interpretability focuses on the how. It's focused on getting some notion of an explanation for the decisions made by our models. Below, ...

#19. Interpretable Machine Learning: A brief survey from the ...

In the field of predictive maintenance (PdM), machine learning (ML) has ... This comprises intrinsically interpretable models and post-hoc explanations.

#20. Review of interpretable machine learning for process industries

Moreover, this paper will specifically focus on the topic of model interpretability. In machine learning, weights or biases calculated within models are ...

#21. Interpretable machine learning methods for predictions in ...

Machine learning has become a powerful tool for systems biologists, from diagnosing cancer to optimizing kinetic models and predicting the state, ...

#22. Interpretable machine learning methods for ... - PubMed

Machine learning has become a powerful tool for systems biologists, from diagnosing cancer to optimizing kinetic models and predicting the ...

#23. Interpretable Machine Learning - 博客來

書名：Interpretable Machine Learning，語言：英文，ISBN：9780244768522，頁數：320，作者：Molnar, Christoph，出版日期：2020/02/28，類別：自然科普.

#24. Interpretability Methods in Machine Learning: A Brief Survey

Interpretability is crucial for several reasons. If researchers don't understand how a model works, they can have difficulty transferring learnings into a ...

#25. Interpretable Machine Learning: Moving from Mythos to ...

The field of interpretable machine learning (IML) grew out of these concerns, with the goal of empowering various stakeholders to tackle use ...

#26. Explainable Artificial Intelligence: An Introduction to ...

The field of Explainable AI addresses one of the largest shortcomings of machine learning and deep learning algorithms today: the interpretability and ...

#27. Interpretable machine learning - van der Schaar Lab

This type of interpretability involves identifying and showing which patient-specific features the machine learning model has considered when issuing a ...

#28. Interpretable Machine Learning in Healthcare - ResearchGate

PDF | On Aug 1, 2018, T. Greg McKelvey and others published Interpretable Machine Learning in Healthcare | Find, read and cite all the research you need on ...

#29. Toward Interpretable Machine Learning – E4S

However, modern machine learning techniques, including deep learning, focus solely on predictive accuracy and completely disregard the topic of interpretability ...

#30. Interpretable Machine Learning | KrauthammerLab

Motivation. As machine learning (ML) models become increasingly used also in high-stake research domains such as healthcare, their adoption ...

#31. Best Practices for Interpretable Machine Learning in ... - bioRxiv

Advances in machine learning (ML) have enabled the development of next-generation prediction models for complex computational biology problems.

#32. What is Interpretability in Machine Learning? - Domino Data Lab

Interpretable machine learning means humans can capture relevant knowledge from a model concerning relationships either contained in data or learned by the ...

#33. Interpretable Machine Learning | 天瓏網路書店

書名：Interpretable Machine Learning，ISBN：0244768528，作者：Molnar, Christoph，出版社：Lulu.com，出版日期：2020-02-28，分類：Machine Learning 機器學習.

#34. Interpretable machine learning for psychological research

However, most machine learning methods are not directly interpretable. Interpretation techniques that support researchers in describing how the ...

#35. Summer Cluster: Interpretable Machine Learning

Summer Cluster: Interpretable Machine Learning ... experts in theoretical computer science, machine learning, statistics, causal inference, ...

#36. Interpretable Machine Learning - DataCamp

The three challenges of interpretable machine learning are fairness, accountability, and transparency. First, fairness addresses discernable biases and ...

#37. Making Sense of Interpretable Machine Learning

Making Sense of Interpretable Machine Learning. 17 - 21 October 2022. Venue: Lorentz Center@Snellius. If you are invited or already registered for this ...

#38. From Exploring to Building Accurate Interpretable Machine ...

... to Building Accurate Interpretable Machine Learning Models for ... from novice users who may not be familiar with machine learning (ML).

#39. Interpretable machine learning - AI4EU

AI Assets related to #Interpretable machine learning. LionForests v2. @ Intelligent Systems Lab - Ioannis Mollas. Asset Type. Docker container ...

#40. Interpretable deep learning for natural language processing

Author(s): Murdoch, William James | Advisor(s): Yu, Bin | Abstract: Machine-learning models have demonstrated great success in learning complex patterns ...

#41. New Book: Interpretable Machine Learning - MLTechniques.com

New Book: Interpretable Machine Learning ... Subtitled “A Guide for Making Black Box Models Explainable”. Authored and self-published by Christoph ...

#42. Inherently interpretable Machine Learning for Probability of ...

Abstract: In this thesis, we investigate the topic of inherently interpretable machine learning algorithms for the use in internal ratings-based models.

#43. What is Interpretability - Interpretable AI

The more interpretable the models are, the easier it is for someone to comprehend and trust the model. Models such as deep learning and gradient boosting are ...

#44. Machine Learning : Performance and interpretability

For instance, the model used for loan scoring is interpretable if it is able to measure the relative importance of the variables used (age, family situation, ...

#45. Semantic, Symbolic and Interpretable Machine Learning

This program concerns machine learning (ML) approaches which operate at the human abstraction level, where the world is described by entities, concepts, ...

#46. About AIMLAI

Machine learning models that are directly interpretable; Explanation modules for black-box models (post-hoc interpretability). Transparency in AI and ML.

#47. Interpretable Machine Learning (IML) / Explainable AI (XAI)

Interpretable Machine Learning (IML) / Explainable AI (XAI) ... Machine learning models are often referred to as black boxes because their predictions are often ...

#48. Interpretable Machine Learning in Healthcare

A popular definition of interpretability frequently used by researchers is interpretability in machine learning is a degree to which a human can understand the ...

#49. Explainable artificial intelligence - Wikipedia

Explainable AI (XAI), or Interpretable AI, or Explainable Machine Learning (XML), is artificial intelligence (AI) in which humans can understand the ...

#50. Interpretability - MATLAB & Simulink - MathWorks

Interpretability is the degree to which machine learning algorithms can be understood by humans. Machine learning models are often referred to as “black ...

#51. GAM(e) changer or not? An evaluation of interpretable ...

An evaluation of interpretable machine learning models. November 14, 2022 by MAIEI. Research Summary by Patrick Zschech, Sven Weinzierl, Nico Hambauer, ...

#52. Interpretable machine learning as a tool for scientific discovery ...

There has been an upsurge of interest in applying machine-learning (ML) techniques to chemistry, and a number of these applications have achieved impressive ...

#53. An interpretable machine learning workflow with an ...

Staff Working Paper No. 984. By Marcus Buckmann and Andreas Joseph. We propose a generic workflow for the use of machine learning models to ...

#54. Interpretable Machine Learning Assessment - SSRN

Unlike traditional measures, d-index describes machine learning performance by synthesizing classification effectiveness from different ...

#55. [PDF] Review Study of Interpretation Methods for Future ...

This paper comprehensively review the interpretability of deep learning in medical diagnosis based on the current literature, including some common ...

#56. Interpretable Machine Learning - Google Books

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about ...

#57. Physically interpretable machine learning for nuclear masses

Our physically interpretable machine learning (PIML) approach incorporates knowledge of physics by using a physically motivated feature ...

#58. Interpretable Machine Learning: An Overview | by Pol Ferrando

Despite their high predictive performance, many machine learning techniques remain black boxes because it is difficult to understand the role of each ...

#59. Interpretable Machine Learning for Insurance - SOA

Machine learning algorithms fit models based on patterns identified in data and can be very complex. In this report, we describe and illustrate a range of ...

#60. A primer to Interpretable Machine Learning - Paperspace Blog

Interpretability is required to increase social acceptance of ML Models in our day-to-day lives. Similarly, a consumer interacting with their personal home ...

#61. Interpretable Deep Learning under Fire - USENIX

Interpretable Deep Learning under Fire. Authors: Xinyang Zhang, Pennsylvania State University; Ningfei Wang, University of California Irvine; Hua Shen, ...

#62. Interpretable Machine Learning Models: What are they and ...

Interpretability of Machine Learning Models · the size of the model, · the possibility of finding intuitive explanations for the different parts ...

#63. Learn the benefits of interpretable machine learning

Learn why machine learning models and algorithms provide the most business value when they are both interpretable and explainable.

#64. Interactive and Interpretable Machine Learning Models for ...

Her research focuses on interactive and interpretable machine learning models for human-machine collaboration. She received her PhD. from MIT.

#65. Explainable AI (XAI) and Interpretable Machine Learning (IML ...

Explainable AI (XAI) and Interpretable Machine Learning (IML) models · Model debugging - When/where/why is the model performing poorly? · Model ...

#66. Toward Interpretable Machine Learning Techniques

Machine learning interpretability is very important for different reasons. First, explaining predictions is always useful for getting insights of how this model ...

#67. Reliable and Interpretable Machine Learning for Science

As supercomputers' data collection and analysis capabilities outpace human ability, machine learning (ML) has emerged as an important tool for sifting ...

#68. Interpretable Machine Learning Applications: Part 1 - Coursera

Complete this Guided Project in under 2 hours. In this 1-hour long project-based course, you will learn how to create interpretable machine learning ...

#69. Interpretable machine learning for real estate market analysis

Abstract Machine Learning (ML) excels at most predictive tasks but its complex nonparametric structure renders it less useful for inference ...

#70. Interpretable Machine Learning for Health - Twitter

@iml4health. The latest research on interpretable machine learning and its applications to health and medicine - Curated by Digital Medicine Lab (.

#71. On the Safety of Interpretable Machine Learning: A Maximum ...

Interpretable and explainable machine learning has seen a recent surge of interest. We posit that safety is a key reason behind the demand for ...

#72. Interpretable and Explainable AI and Machine Learning

Join us to explore the latest developments in artificial intelligence and machine learning across cognitive science, healthcare, and policy.

#73. Causal Perspective on Interpretable Machine Learning

Summary. Advances in machine learning (ML) have led to the widespread adoption of complex predictive models in scientific discovery and in high-stakes ...

#74. New Interpretable Machine Learning Models and Methods

As machine learning models are playing increasingly important roles in many real-life scenarios, interpretability has become a key issue for whether we can ...

#75. LEARN THE BENEFITS OF INTERPRETABLE MACHINE ...

摘要： Tech companies have developed machine learning models and algorithms expeditiously in recent years.

#76. DataHour: Introduction to Interpretable Machine Learning

Interpretable machine learning is needed because machine learning by itself is incomplete as a solution. The complex problems we solve with ...

#77. Interpretable Machine Learning: Explaining Models, Datasets ...

Interpretable Machine Learning : Explaining Models, Datasets and Expert Behaviors ... Abstract (summary): As machine learning models become increasingly ...

#78. Neural Additive Models: Interpretable Machine Learning with ...

Neural Additive Models: Interpretable Machine Learning with Neural Nets ... Deep neural networks (DNNs) are powerful black-box predictors that have achieved ...

#79. Interpretable machine learning - POST - UK Parliament

Terminology varies, but 'interpretability' is typically used to describe the ability to present or explain an ML system's decision-making ...

#80. Interpretable machine learning for analysing heterogeneous ...

Machine learning (ML) interpretability has become increasingly crucial for identifying accurate and relevant structural relationships ...

#81. What is the difference between explainable and interpretable ...

In brief, interpretable machine learning is a tool used to solve problems present in the domain of explainable machine learning. To define your ...

#82. Interpretable machine learning: definitions, methods, and ...

Machine -learning models have demonstrated great success in learning complex patterns that enable them to make predictions about unobserved data.

#83. OpenAI's Pedagogical Method for Interpretable Machine ...

Decision Trees in Machine Learning · Principal Component Analysis (PCA) Tutorial · Linear Regression from Zero to Hero ...

#84. Interpretable Machine Learning Models for Clinical Decision ...

Despite some challenges during development and rollout, a new machine learning–based risk stratification model is showing early promise in ...

#85. Interpretable Machine Learning by Christoph Molnar

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about ...

#86. Interpretable machine learning for high-dimensional ... - PLOS

This work presents a machine learning approach to model high-dimensional aging health trajectories and mortality.

#87. Machine Learning and Interpretable Machine Learning with R

Machine Learning and Interpretable Machine Learning with R. Carolin Strobl, Mirka Henninger, & Yannick Rothacher.

#88. Opening the black box: interpretable machine learning for ...

Various interpretability techniques may interpret the behavior of machine learning models differently. ... According to the needs of the ...

#89. Tutorial on Interpretable Machine Learning

Tutorial on Interpretable Machine Learning. Wojciech Samek. (Fraunhofer HHI). Klaus-Robert Müller. (TU Berlin). 9:00 - 9:30 Part 1a: Introduction.

#90. Interpretable Machine Learning

The learning objectives include the students acquiring both the theoretical and practical basics of interpretable machine learning (iML).

#91. Introduction to Interpretable Machine Learning | by Petuum, Inc.

What is interpretable machine learning? · A self-explained task-performing machine learning (ML) decision model that is constructed (learned) ...

#92. How to build interpretable machine learning models - Hyperight

Before their Data Innovation Summit session, we talked to Josefin about one very crucial topic in machine learning – building interpretable ...

#93. Introduction to Machine Learning Model Interpretation

Types of Model Interpretability · Intrinsic or post hoc? Intrinsic interpretability refers to models that are considered interpretable due to their simple ...

#94. Guide to Interpretable Machine Learning - TOPBOTS

The higher the interpretability of a machine learning model, the easier it is for someone to comprehend why certain decisions or predictions ...

#95. Interpretable Machine Learning with Python - Packt

To interpret something is to explain the meaning of it. In the context of machine learning, that something is an algorithm. More specifically, that algorithm is ...

#96. A Brief History, State-of-the-Art and Challenges - Crossminds.ai

This is a talk for the paper " Interpretable Machine Learning - A Brief History, State-of-the-Art and Challenges".

#97. Interpretable-machine-learning.pdf

This book will teach you how to make (supervised) machine learning models interpretable. The chapters contain some mathematical formulas, ...

#98. Interpretable Machine Learning - State of the Art and Challenges

About ECML-PKDD 2020. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will take ...