Explainable and Interpretable Models in Computer Vision and Machine Learning is popular PDF and ePub book, written by Hugo Jair Escalante in 2018-11-29, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Explainable and Interpretable Models in Computer Vision and Machine Learning can be Read Online from any device for your convenience.
Explainable and Interpretable Models in Computer Vision and Machine Learning Book PDF Summary
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning · Explanation Methods in Deep Learning · Learning Functional Causal Models with Generative Neural Networks · Learning Interpreatable Rules for Multi-Label Classification · Structuring Neural Networks for More Explainable Predictions · Generating Post Hoc Rationales of Deep Visual Classification Decisions · Ensembling Visual Explanations · Explainable Deep Driving by Visualizing Causal Attention · Interdisciplinary Perspective on Algorithmic Job Candidate Search · Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations
Detail Book of Explainable and Interpretable Models in Computer Vision and Machine Learning PDF
- Author : Hugo Jair Escalante
- Release : 29 November 2018
- Publisher : Springer
- ISBN : 9783319981314
- Genre : Computers
- Total Page : 299 pages
- Language : English
- PDF File Size : 11,7 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Explainable and Interpretable Models in Computer Vision and Machine Learning by Hugo Jair Escalante, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.
