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Interactive Learning with Mutual Explanations in Relational Domains

Ute Schmid

in Human-Like Machine Intelligence

Published in print:
2021
Published Online:
August 2021
ISBN:
9780198862536
eISBN:
9780191895333
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198862536.003.0017
Subject:
Computer Science, Artificial Intelligence

With the growing number of applications of machine learning in complex real-world domains machine learning research has to meet new requirements to deal with the imperfections of real world data and ... More


Logic-based Robotics

Claude Sammut, Reza Farid, Handy Wicaksono, and Timothy Wiley

in Human-Like Machine Intelligence

Published in print:
2021
Published Online:
August 2021
ISBN:
9780198862536
eISBN:
9780191895333
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198862536.003.0023
Subject:
Computer Science, Artificial Intelligence

This chapter explores methods for combining symbolic and sub-symbolic reasoning and learning systems to take advantage of the strengths of each approach in challenging tasks in robotics. In ... More


Human-like Computer Vision

Stephen Muggleton and Wang-Zhou Dai

in Human-Like Machine Intelligence

Published in print:
2021
Published Online:
August 2021
ISBN:
9780198862536
eISBN:
9780191895333
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198862536.003.0010
Subject:
Computer Science, Artificial Intelligence

Statistical machine learning is widely used in image classification and typically 1) requires many images to achieve high accuracy and 2) does not provide support for reasoning below the level of ... More


Human–Machine Collaboration for Democratizing Data Science

CléMent Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, and Luc De Raedt

in Human-Like Machine Intelligence

Published in print:
2021
Published Online:
August 2021
ISBN:
9780198862536
eISBN:
9780191895333
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198862536.003.0019
Subject:
Computer Science, Artificial Intelligence

Everybody wants to analyse their data, but only few posses the data science expertise to do this. Motivated by this observation, we introduce a novel framework and system VisualSynth for ... More


An Overview of the RELIEF Algorithm and Advancements

Alexandre Todorov

in Statistical Approaches to Gene X Environment Interactions for Complex Phenotypes

Published in print:
2016
Published Online:
May 2017
ISBN:
9780262034685
eISBN:
9780262335522
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262034685.003.0006
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies

The aim of the RELIEF algorithm is to filter out features (e.g., genes, environmental factors) that are relevant to a trait of interest, starting from a set of that may include thousands of ... More


Defining Project Objectives

Kai R. Larsen and Daniel S. Becker

in Automated Machine Learning for Business

Published in print:
2021
Published Online:
July 2021
ISBN:
9780190941659
eISBN:
9780197601495
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780190941659.003.0002
Subject:
Business and Management, Information Technology, Innovation

This section covers the first steps of a the Machine Learning Life Cycle Model; how to specify a business problem, acquire subject matter expertise, define prediction target, define unit of analysis, ... More


Human–Machine Scientific Discovery

Alireza Tamaddoni-Nezhad, David Bohan, Ghazal Afroozi Milani, Alan Raybould, and Stephen Muggleton

in Human-Like Machine Intelligence

Published in print:
2021
Published Online:
August 2021
ISBN:
9780198862536
eISBN:
9780191895333
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198862536.003.0015
Subject:
Computer Science, Artificial Intelligence

Humanity is facing existential, societal challenges related to food security, ecosystem conservation, antimicrobial resistance, etc, and Artificial Intelligence (AI) is already playing an important ... More


Who profits?

Harold Thimbleby

in Fix IT: See and solve the problems of digital healthcare

Published in print:
2021
Published Online:
November 2021
ISBN:
9780198861270
eISBN:
9780191893339
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198861270.003.0018
Subject:
Public Health and Epidemiology, Public Health, Epidemiology

Who is profiting from our data? Is Artificial Intelligence (AI) the solution to better healthcare?


Deep Warbots

Kenneth Payne

in I, Warbot: The Dawn of Artificially Intelligent Conflict

Published in print:
2021
Published Online:
January 2022
ISBN:
9780197611692
eISBN:
9780197632956
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780197611692.003.0003
Subject:
Political Science, Security Studies

Machine Learning, and especially Deep Learning, has led to startling advances in AI over the last decade. Much of this research has led by the private sector, rather than the military. Artificial ... More


Game Analytics for Games User Research

Anders Drachen and Shawn Connor

in Games User Research

Published in print:
2018
Published Online:
March 2018
ISBN:
9780198794844
eISBN:
9780191836336
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198794844.003.0019
Subject:
Mathematics, Logic / Computer Science / Mathematical Philosophy, Computational Mathematics / Optimization

Game Analytics (GA) provides new ways to conduct user research, counteracting some of the weaknesses of traditional approaches while retaining essential compatibility with the methodologies of GUR. ... More


Punching above your weight: how small studios can leverage data for an unfair advantage

Lysiane Charest

in Games User Research

Published in print:
2018
Published Online:
March 2018
ISBN:
9780198794844
eISBN:
9780191836336
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780198794844.003.0020
Subject:
Mathematics, Logic / Computer Science / Mathematical Philosophy, Computational Mathematics / Optimization

This chapter is aimed at small-to-medium-sized studios wanting to introduce analytics into their development process. It focuses on concepts and techniques that are most useful for smaller studios, ... More


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