Discrete representations of continuous data using deep learning and clustering

Discrete representations of continuous data using deep learning and clustering

<p>The divide between continuous and discrete data is a fundamental one in computer science and mathematics, as well as related areas such as cognitive science. Historically, most of computing has operated in the discrete domain, but connectionism offers an alternative set of techniques for re...

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Bibliografiske detaljer
Hovedforfatter:	Mahon, L
Andre forfattere:	Lukasiewicz, T
Format:	Thesis
Sprog:	English
Udgivet:	2022
Fag:	Machine learning Artificial intelligence

Lignende værker

Influence of the input data on learning deep representations
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Udgivet: (2020)

DEEP LEARNING /
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Udgivet: (2019)

Continual learning for efficient machine learning
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Udgivet: (2020)

Machine learning and deep learning methods that use omics data for metastasis prediction
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Udgivet: (2021-01-01)

Learning Distributed Representations and Deep Embedded Clustering of Texts
af: Shuang Wang, et al.
Udgivet: (2023-03-01)

Deep learning with hard logical constraints
af: Giunchiglia, E
Udgivet: (2022)

MACHINE LEARNING : Concepts, Tools and Data Visualization /
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Udgivet: ([202)

Prediction of Preeclampsia Using Machine Learning and Deep Learning Models: A Review
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Udgivet: (2023-02-01)

Diabetes detection from non-diabetic retinopathy fundus images using deep learning methodology
af: Yovel Rom, et al.
Udgivet: (2024-08-01)

Deep learning applications for the classification of psychiatric disorders using neuroimaging data: Systematic review and meta-analysis
af: Mirjam Quaak, et al.
Udgivet: (2021-01-01)

Comprehensive review of EEG data classification techniques for ADHD detection using machine learning and deep learning
af: Nitin Ahire, et al.
Udgivet: (2023-06-01)

Train Me If You Can: Decentralized Learning on the Deep Edge
af: Diogo Costa, et al.
Udgivet: (2022-05-01)

Deep Reinforcement Learning in complex environments
af: Nardelli, N
Udgivet: (2021)

Prediction of the composition of urinary stones using deep learning
af: Ui Seok Kim, et al.
Udgivet: (2022-07-01)

A study on the clusterability of latent representations in image pipelines
af: Adrian Wheeldon, et al.
Udgivet: (2023-02-01)

Spontaneous Concept Learning with Deep Autoencoder
af: Serge Dolgikh
Udgivet: (2018-11-01)

Estimation of vital signs from facial videos via video magnification and deep learning
af: Bin Lin, et al.
Udgivet: (2023-10-01)

Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data
af: Taeho Jo, et al.
Udgivet: (2019-08-01)

Screening for Osteoporosis from Blood Test Data in Elderly Women Using a Machine Learning Approach
af: Atsuyuki Inui, et al.
Udgivet: (2023-02-01)

Detection of Diabetes Mellitus With Deep Learning and Data Augmentation Techniques on Foot Thermography
af: Andres Anaya-Isaza, et al.
Udgivet: (2022-01-01)

From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare
af: Chiranjib Chakraborty, et al.
Udgivet: (2024-01-01)

Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
af: Alessio Bottrighi, et al.
Udgivet: (2023-09-01)

Application of Machine Learning Based on Structured Medical Data in Gastroenterology
af: Hye-Jin Kim, et al.
Udgivet: (2023-10-01)

Implementation of deep learning in drug design
af: Bo Yang, et al.
Udgivet: (2022-09-01)

Convex Representations Using Deep Archetypal Analysis for Predicting Glaucoma
af: Anshul Thakur, et al.
Udgivet: (2020-01-01)

Intelligently learning from data
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Udgivet: (2019-04-01)

The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning /
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Udgivet: (2019)

Generalizable deep learning framework for 3D medical image segmentation using limited training data
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Udgivet: (2025-03-01)

Deep Learning in Sleep Medicine: Advantages and Drawbacks
af: Morteza Zangeneh Soroush
Udgivet: (2022-04-01)

Research on the next-generation deep learning framework
af: Fan YU
Udgivet: (2020-07-01)

Learning and inference over relational data
af: Abboud, R
Udgivet: (2022)

A machine learning algorithm for peripheral artery disease prognosis using biomarker data
af: Ben Li, et al.
Udgivet: (2024-03-01)

A survey of deep learning applications in cryptocurrency
af: Junhuan Zhang, et al.
Udgivet: (2024-01-01)

Deep Learning in Medical Imaging
af: Mingyu Kim, et al.
Udgivet: (2019-12-01)

Artificial intelligence, machine learning and deep learning in advanced robotics, a review
af: Mohsen Soori, et al.
Udgivet: (2023-01-01)

Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
af: Showmick Guha Paul, et al.
Udgivet: (2023-03-01)

Unsupervised learning of clutter-resistant visual representations from natural videos
af: Liao, Qianli, et al.
Udgivet: (2015)

Interpretable causal systems: interpretability and causality in machine learning for human and nonhuman decision-making
af: Graham, L
Udgivet: (2020)

HANDBOOK OF MACHINE LEARNING.
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Udgivet: (2020)

Identification of promising genotypes in varietal trials of sugarcane using deep learning
af: Syed Sarfaraz Hasan, et al.
Udgivet: (2023-04-01)