Testing and learning on distributional and set inputs

Testing and learning on distributional and set inputs

<p>As machine learning gains significant attention in many disciplines and research communities, the variety of data structures has increased, with examples including distributions and sets of observations. In this thesis, we consider sets and distributions as inputs for machine learning pr...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखक:	Law, H
अन्य लेखक:	Sejdinovic, D
स्वरूप:	थीसिस
भाषा:	English
प्रकाशित:	2019
विषय:	Statistics Machine learning

समान संसाधन

Utilizing Statistical Tests for Comparing Machine Learning Algorithms
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प्रकाशित: (2021-07-01)

The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data
द्वारा: Natália V N Rodrigues, और अन्य
प्रकाशित: (2023-01-01)

Towards trustworthy machine learning with kernels
द्वारा: Chau, SL
प्रकाशित: (2023)

Towards data-efficient deep learning with meta-learning and symmetries
द्वारा: Xu, J
प्रकाशित: (2023)

Kernel-based hypothesis tests: large-scale approximations and Bayesian perspectives
द्वारा: Zhang, Q
प्रकाशित: (2019)

Enabling feature-level interpretability in non-linear latent variable models: a synthesis of statistical and machine learning techniques
द्वारा: Martens, K
प्रकाशित: (2019)

Empirical performance of simple statistical inference-type models with feature extraction in comparison to modern machine learning methods concerning regression and classification problems
द्वारा: Dittgen, M
प्रकाशित: (2019)

Expectancy learning from probabilistic input by infants
द्वारा: Alexa R Romberg, और अन्य
प्रकाशित: (2013-01-01)

Evaluation metrics and statistical tests for machine learning
द्वारा: Oona Rainio, और अन्य
प्रकाशित: (2024-03-01)

Boosting any learning algorithm with Statistically Enhanced Learning
द्वारा: Florian Felice, और अन्य
प्रकाशित: (2025-01-01)

Finite Sample Analysis of Minmax Variant of Offline Reinforcement Learning for General MDPs
द्वारा: Jayanth Reddy Regatti, और अन्य
प्रकाशित: (2022-01-01)

Input Complexity Affects Long-Term Retention of Statistically Learned Regularities in an Artificial Language Learning Task
द्वारा: Ethan Jost, और अन्य
प्रकाशित: (2019-10-01)

Machine Learning for Neuroimaging with Scikit-Learn
द्वारा: Alexandre eAbraham, और अन्य
प्रकाशित: (2014-02-01)

Machine learning and statistical models to address cluster-level confounding for the study of medical devices and surgical epidemiology using observational data
द्वारा: Du, M
प्रकाशित: (2023)

Sample Size Analysis for Machine Learning Clinical Validation Studies
द्वारा: Daniel M. Goldenholz, और अन्य
प्रकाशित: (2023-02-01)

Statistical Analysis and Machine Learning Used in the Case of Two Behavioral Tests Applied in Zebrafish Exposed to Mycotoxins
द्वारा: Tigran-Lucian Mandalian, और अन्य
प्रकाशित: (2022-03-01)

Generative models: theory and applications
द्वारा: Benton, J
प्रकाशित: (2023)

On the properties of random feature methods
द्वारा: Li, Z
प्रकाशित: (2020)

Probabilistic models and Monte Carlo objectives in generative modelling
द्वारा: Shi, Y
प्रकाशित: (2023)

Large scale methods for kernels, causal inference and survival modelling
द्वारा: Hu, R
प्रकाशित: (2022)

Bayesian Experimental Design for Finding Reliable Level Set Under Input Uncertainty
द्वारा: Shogo Iwazaki, और अन्य
प्रकाशित: (2020-01-01)

Intelligently learning from data
द्वारा: Edward Palmer, और अन्य
प्रकाशित: (2019-04-01)

Bayesian reasoning and machine learning /
द्वारा: Barber, David, 1968-
प्रकाशित: (2012)

A Computational Approach to Statistical Learning /
द्वारा: Arnold, Taylor, author, और अन्य
प्रकाशित: (2019)

Height and Weight Estimation From Anthropometric Measurements Using Machine Learning Regressions
द्वारा: Diego Rativa, और अन्य
प्रकाशित: (2018-01-01)

Diversity of Remote Sensing-Based Variable Inputs Improves the Estimation of Seasonal Maximum Freezing Depth
द्वारा: Bingquan Wang, और अन्य
प्रकाशित: (2021-11-01)

Robustness, structure and hierarchy in deep generative models
द्वारा: Willetts, MJF
प्रकाशित: (2021)

Inference on Markov random fields: methods and applications
द्वारा: Lienart, T
प्रकाशित: (2017)

Optimizing Learning: Predicting Research Competency via Statistical Proficiency
द्वारा: Tarid Wongvorachan, और अन्य
प्रकाशित: (2024-07-01)

Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy
द्वारा: Aleksandra B. Slavkovic, और अन्य
प्रकाशित: (2012-07-01)

Machine learning methods for commonsense reasoning processes : interactive models /
द्वारा: Naidenova, Xenia, 1940-
प्रकाशित: (2010)

Interference effects from machine learning matched confusable object pairs in memory assessment tasks
द्वारा: Batra, D
प्रकाशित: (2022)

The future is coming: promising perspectives regarding the use of machine learning in renal transplantation
द्वारा: Pedro Guilherme Coelho Hannun, और अन्य
प्रकाशित: (2018-10-01)

Geometry and representation learning in deep generative models
द्वारा: Mathieu, E
प्रकाशित: (2021)

A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support
द्वारा: Brian Connolly, और अन्य
प्रकाशित: (2017-08-01)

Neural networks and statistical learning /
द्वारा: Du, Ke-Lin, author, और अन्य
प्रकाशित: (2014)

Influence of the input data on learning deep representations
द्वारा: Sylvestre-Alvise Rebuffi
प्रकाशित: (2020)

Testing the Wind Energy Data Based on Environmental Factors Predicted by Machine Learning with Analysis of Variance
द्वारा: Yasemin Ayaz Atalan, और अन्य
प्रकाशित: (2024-12-01)

Comparing conventional statistical models and machine learning in a small cohort of South African cardiac patients
द्वारा: Preesha Premsagar, और अन्य
प्रकाशित: (2022-01-01)

Automated data acquisition via Bayesian experimental design
द्वारा: Ivanova, DR
प्रकाशित: (2024)