Cantitate/Preț
Produs
Total produse
Vezi coșul
Machine Learning and Knowledge Extraction de Andreas Holzinger

Machine Learning and Knowledge Extraction: Lecture Notes in Computer Science, cartea 12844

Editat de Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl
en Limba Engleză Paperback – 12 aug 2021
This book constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, held in virtually in August 2021. The 20 full papers and 2 short papers presented were carefully reviewed and selected from 48 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (6) 32668 lei  43-57 zile
  Springer – 24 aug 2018 32668 lei  43-57 zile
  Springer – 24 aug 2017 32688 lei  43-57 zile
  Springer – 23 aug 2019 32893 lei  43-57 zile
  Springer – 12 aug 2022 57376 lei  43-57 zile
  Springer – 12 aug 2021 62777 lei  43-57 zile
  Springer – 21 aug 2020 63742 lei  43-57 zile

Din seria Lecture Notes in Computer Science

Preț: 62777 lei

Preț vechi: 78471 lei
-20%

Puncte Express: 942
Preț estimativ în valută:
11094€ • 12804$ • 9676£

Carte tipărită la comandă

Livrare economică 18 mai-01 iunie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783030840594
ISBN-10: 303084059X
Pagini: 376
Ilustrații: X, 365 p. 119 illus., 96 illus. in color.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.57 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Digital Transformation for Sustainable Development Goals (SDGs) - a Security, Safety and Privacy Perspective on AI.- When in Doubt, Ask: Generating Answerable and Unanswerable Questions, Unsupervised.- Self-Propagating Malware Containment via Reinforcement Learning.- Text2PyCode : Machine Translation of Natural Language Intent to Python Source Code.- Automated Short Answer Grading using Deep Learning : A Survey.- Fair and Adequate Explanations.- Mining Causal Hypotheses in Categorical Time Series by Iterating on Binary Correlations.- Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples.- Rice seed image-to-image translation using Generative Adversarial Networks to improve weedy rice image classification.- Reliable AI through SVDD and rule extraction.- Airbnb Price Prediction Using Machine Learning and Sentiment Analysis.- Towards Financial Sentiment Analysis in a South African Landscape.- Decisions are not all equal. Introducing a utility metric based on the case-wise raters' perceptions.- Deep Convolutional Neural Network(CNN) design for pathology detection of COVID-19 in chest X-Ray Images.- Anomaly detection for skin lesion images using replicator neural networks.- On the overlap between Grad-CAM saliency maps and explainable visual features in skin cancer images.- From Explainable to Reliable Artificial Intelligence.- Explanatory Pluralism in Explainable AI.- On the Trustworthiness of Tree Ensemble Explainability Methods.- Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods.- MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers.- Transparent Ensembles for Covid-19 Prognosis.

Caracteristici

Includes supplementary material: sn.pub/extras