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Deep Reinforcement Learning: An Overview [article]

Yuxi Li
2018 arXiv   pre-print
We give an overview of recent exciting achievements of deep reinforcement learning (RL). We discuss six core elements, six important mechanisms, and twelve applications.  ...  We start with background of machine learning, deep learning and reinforcement learning.  ...  See Ruder (2017) for an overview about multi-task learning.  ... 
arXiv:1701.07274v6 fatcat:x2es3yf3crhqblbbskhxelxf2q

Pattern Recognition: an Overview

Vinita Dutt, Vikas Chaudhry, Imran Khan
2012 American Journal of Intelligent Systems  
Related Fields Table 1. the related fields of PR Machine learning Formal languages Adaptive signal processing Cognitive sciences Artificial Neural networks Biological cybernetics Exploratory data  ...  " [2] 1978(Gonzalez, Thomas) defined pattern recognition as a classification of input data via extraction important features from a lot of noisy data.  ... 
doi:10.5923/j.ajis.20120201.04 fatcat:iritx37nj5hozmr5zg2ek4tiuq

An Overview of Enhancing Distance Learning Through Augmented and Virtual Reality Technologies [article]

Elizabeth Childs, Ferzam Mohammad, Logan Stevens, Hugo Burbelo, Amanuel Awoke, Nicholas Rewkowski, Dinesh Manocha
2021 arXiv   pre-print
We first assess the educational challenges presented by distance learning as a whole and identify 4 main challenges that distance learning currently presents as compared to in-person instruction: the lack  ...  Although distance learning presents a number of interesting educational advantages as compared to in-person instruction, it is not without its downsides.  ...  than those learning via textbook or video.  ... 
arXiv:2101.11000v2 fatcat:gdto5gsmtndunntpbwdkiqifyy

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

Hayit Greenspan, Bram van Ginneken, Ronald M. Summers
2016 IEEE Transactions on Medical Imaging  
In an exploratory work, Golkov et al. [35] provide an initial proof-of-concept, applying DL to reduce diffusion MRI data processing to a single optimized step.  ...  Imaging: Overview andFuture Promise of an Exciting New Technique I.  ... 
doi:10.1109/tmi.2016.2553401 fatcat:butvgal6rzethin4oujxzax3wu

Archives and AI: An Overview of Current Debates and Future Perspectives [article]

Giovanni Colavizza, Tobias Blanke, Charles Jeurgens, Julia Noordegraaf
2021 arXiv   pre-print
The digital transformation is turning archives, both old and new, into data.  ...  Our overview of this growing body of literature is organised through the lenses of the Records Continuum model.  ...  [Hutchinson 2020] provides this perspective by giving an overview of efforts of using NLP and machine learning in appraisal.  ... 
arXiv:2105.01117v1 fatcat:up2ahotvurabtnwvzlyk32z7yq

Knowledge management tutorial: an editorial overview

A. Satyadas, U. Harigopal, N.P. Cassaigne
2001 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
Neural learning is data driven (both supervised and unsupervised), and is driven by the weight modification activity, based on an appropriate learning algorithm.  ...  structure, vertical vocabularies, machine learning, pattern analysis [63] , term extraction, summarization [48] , categorization, indexing, similarity measures, classification, and natural language  ... 
doi:10.1109/5326.983926 fatcat:4bycs2qg4jekbpqgo6nk5lz7nu

TRECVID 2005 - An Overview

Paul Over, Tzveta Ianeva, Wessel Kraaij, Alan F. Smeaton
2005 TREC Video Retrieval Evaluation  
DCU, the University of Amsterdam, and the University of Iowa helped out in the distribution of corrected data to replace the corrupted or inaccessible data on the hard drives.  ...  Richard Wright at the BBC Archive made the rushes data available and Gary Marchionini and the Open Video Project at the University of North Carolina at Chapel Hill helped us get the NASA videos in MPEG  ...  The National ICT Australia system used video analysis and machine learning. The computation involved was relatively expensive.  ... 
dblp:conf/trecvid/OverIKS05 fatcat:czlfoelhrnaxnnhwr74antamqi

Introduction: An Overview of AI in Oncology Drug Discovery and Development [chapter]

Kristofer Linton-Reid
2020 Artificial Intelligence in Oncology Drug Discovery and Development  
Genentech is now collaborating with GNS Healthcare platform to use machine learning to find and validate potential new drug candidates.  ...  Alphabet's subsidiary DeepMind developed an AI platform, AlphaFold, that predicted protein 3D structures based upon genomic data; their prediction was better than over 90 other companies including Novartis  ...  Another term, machine learning (ML), is a subset of AI involving machines using data to artificially think for themselves.  ... 
doi:10.5772/intechopen.92799 fatcat:5f37bqrgibgvlh63a7r3ohmlkm

Visuo-Haptic Object Perception for Robots: An Overview [article]

Nicolás Navarro-Guerrero, Sibel Toprak, Josip Josifovski, Lorenzo Jamone
2022 arXiv   pre-print
Next, an introduction to the main computational aspects is presented, highlighting a few representative articles for each main application area, including object recognition, transfer learning, and object  ...  It covers aspects of biological inspiration, sensor technologies, data sets, and sensory data processing for object recognition and grasping.  ...  The collected data from multiple grasps was classified using k-means, quadratic discriminant analysis (QDA), k-nearest neighbours (kNN), and support vector machines (SVM).  ... 
arXiv:2203.11544v2 fatcat:vmgf5ji47rhojlmeijvnovjrei

7. Accessibility of data visualizations : An overview of European statistics institutes [chapter]

2020 Data Visualization in Society  
Access to public data is important for people to stay informed.  ...  In this chapter we investigate accessibility for people with disabilities to data visualizations from a selection of European National Statistics Institutes (NSIs).  ...  The accessibility score is the result obtained in the period from September 2018 Exploratory/Interactive visualization analysis Twelve out of fourteen NSIs have interactive tools to graph the data  ... 
doi:10.1515/9789048543137-011 fatcat:k6cojd2puvc5tbensk7pafruru

Methods and Techniques of Complex Systems Science: An Overview [article]

Cosma Rohilla Shalizi (Center for the Study of Complex Systems, University of Michigan)
2006 arXiv   pre-print
I discuss the principles of statistical learning and model selection; time series analysis; cellular automata; agent-based models; the evaluation of complex-systems models; information theory; and ways  ...  These in turn divide, roughly, into tools for analyzing data, tools for constructing and evaluating models, and tools for measuring complexity.  ...  In many respects, data mining is an extension of exploratory data analysis; the classic work by Tukey [228] is still worth reading.  ... 
arXiv:nlin/0307015v4 fatcat:6abwfk4rcjedzfg5my7oghiw74

An overview of the NFAIS Conference: Artificial intelligence: Finding its place in research, discovery, and scholarly publishing

Bonnie Lawlor, Bonnie Lawlor
2019 Information Services and Use  
Topics covered were, among others: the amount of data, computing power, and the technical infrastructure required for AI and Machine Learning (ML) processes; the challenges to building effective AI and  ...  This paper offers an overview of the highlights of the NFAIS Conference, Artificial Intelligence: Finding Its Place in Research, Discovery, and Scholarly Publishing, that was held in Alexandria, VA from  ...  services rather • Adaptive learning products Cross selling than documents across content domains • Selling data to machine learning • Unlocking value in legacy content companies • Automated creation of  ... 
doi:10.3233/isu-190068 fatcat:tprbkkm3yfcvllt7l2q4qpaonu

Applications of crowdsourcing in health: an overview

Kerri Wazny
2018 Journal of Global Health  
Applications of crowdsourcing in health: an overview Background Crowdsourcing is a nascent phenomenon that has grown exponentially since it was coined in 2006.  ...  This review provides a narrative overview of the articles identified.  ...  algorithm of machine learning and crowdsourcing would perform optimally.  ... 
doi:10.7189/jogh.08.010502 pmid:29564087 pmcid:PMC5840433 fatcat:u7ceihuetjftrh2j5jeqr62idq

Towards Circular Economy in the Household Appliance Industry: An Overview of Cases

Gianmarco Bressanelli, Nicola Saccani, Marco Perona, Irene Baccanelli
2020 Resources  
However, it is still at an embryonic stage of implementation in manufacturing companies.  ...  Internet of Things (IoT), Big Data and Cloud emerged as powerful enablers of servitized business models.  ...  Analysis and Discussion The classification of the 20 cases through the Research Framework provides an overview of the implementation of CE in the household appliances industry.  ... 
doi:10.3390/resources9110128 fatcat:javw2xpulrgrtanarduexruufy

An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief [chapter]

Ghazaleh Beigi, Xia Hu, Ross Maciejewski, Huan Liu
2016 Studies in Computational Intelligence  
In order to enable quick analysis of real-time geo-distributed data, we will detail applications of visual analytics with an emphasis on sentiment visualization.  ...  Recent years, on the other hand, have witnessed the advent of social networking websites, microblogs, wikis and Web applications and consequently, an unprecedented growth in user-generated data is poised  ...  These techniques are now widely used in social media data and contribute in many areas of exploratory data analysis.  ... 
doi:10.1007/978-3-319-30319-2_13 fatcat:aajzoeahsngtpg4ybvqm32hwem
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