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...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awdur:	Law, H
Awduron Eraill:	Sejdinovic, D
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	2019
Pynciau:	Statistics Machine learning

Eitemau Tebyg

Utilizing Statistical Tests for Comparing Machine Learning Algorithms
gan: Hozan Khalid Hamarashid
Cyhoeddwyd: (2021-07-01)

The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data
gan: Natália V N Rodrigues, et al.
Cyhoeddwyd: (2023-01-01)

Towards trustworthy machine learning with kernels
gan: Chau, SL
Cyhoeddwyd: (2023)

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

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

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

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

Expectancy learning from probabilistic input by infants
gan: Alexa R Romberg, et al.
Cyhoeddwyd: (2013-01-01)

Evaluation metrics and statistical tests for machine learning
gan: Oona Rainio, et al.
Cyhoeddwyd: (2024-03-01)

Boosting any learning algorithm with Statistically Enhanced Learning
gan: Florian Felice, et al.
Cyhoeddwyd: (2025-01-01)

Finite Sample Analysis of Minmax Variant of Offline Reinforcement Learning for General MDPs
gan: Jayanth Reddy Regatti, et al.
Cyhoeddwyd: (2022-01-01)

Input Complexity Affects Long-Term Retention of Statistically Learned Regularities in an Artificial Language Learning Task
gan: Ethan Jost, et al.
Cyhoeddwyd: (2019-10-01)

Machine Learning for Neuroimaging with Scikit-Learn
gan: Alexandre eAbraham, et al.
Cyhoeddwyd: (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
gan: Du, M
Cyhoeddwyd: (2023)

Sample Size Analysis for Machine Learning Clinical Validation Studies
gan: Daniel M. Goldenholz, et al.
Cyhoeddwyd: (2023-02-01)

Statistical Analysis and Machine Learning Used in the Case of Two Behavioral Tests Applied in Zebrafish Exposed to Mycotoxins
gan: Tigran-Lucian Mandalian, et al.
Cyhoeddwyd: (2022-03-01)

Generative models: theory and applications
gan: Benton, J
Cyhoeddwyd: (2023)

On the properties of random feature methods
gan: Li, Z
Cyhoeddwyd: (2020)

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

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

Bayesian Experimental Design for Finding Reliable Level Set Under Input Uncertainty
gan: Shogo Iwazaki, et al.
Cyhoeddwyd: (2020-01-01)

Intelligently learning from data
gan: Edward Palmer, et al.
Cyhoeddwyd: (2019-04-01)

Bayesian reasoning and machine learning /
gan: Barber, David, 1968-
Cyhoeddwyd: (2012)

A Computational Approach to Statistical Learning /
gan: Arnold, Taylor, author, et al.
Cyhoeddwyd: (2019)

Height and Weight Estimation From Anthropometric Measurements Using Machine Learning Regressions
gan: Diego Rativa, et al.
Cyhoeddwyd: (2018-01-01)

Diversity of Remote Sensing-Based Variable Inputs Improves the Estimation of Seasonal Maximum Freezing Depth
gan: Bingquan Wang, et al.
Cyhoeddwyd: (2021-11-01)

Robustness, structure and hierarchy in deep generative models
gan: Willetts, MJF
Cyhoeddwyd: (2021)

Inference on Markov random fields: methods and applications
gan: Lienart, T
Cyhoeddwyd: (2017)

Optimizing Learning: Predicting Research Competency via Statistical Proficiency
gan: Tarid Wongvorachan, et al.
Cyhoeddwyd: (2024-07-01)

Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy
gan: Aleksandra B. Slavkovic, et al.
Cyhoeddwyd: (2012-07-01)

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

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

The future is coming: promising perspectives regarding the use of machine learning in renal transplantation
gan: Pedro Guilherme Coelho Hannun, et al.
Cyhoeddwyd: (2018-10-01)

Geometry and representation learning in deep generative models
gan: Mathieu, E
Cyhoeddwyd: (2021)

A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support
gan: Brian Connolly, et al.
Cyhoeddwyd: (2017-08-01)

Neural networks and statistical learning /
gan: Du, Ke-Lin, author, et al.
Cyhoeddwyd: (2014)

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

Testing the Wind Energy Data Based on Environmental Factors Predicted by Machine Learning with Analysis of Variance
gan: Yasemin Ayaz Atalan, et al.
Cyhoeddwyd: (2024-12-01)

Comparing conventional statistical models and machine learning in a small cohort of South African cardiac patients
gan: Preesha Premsagar, et al.
Cyhoeddwyd: (2022-01-01)

Automated data acquisition via Bayesian experimental design
gan: Ivanova, DR
Cyhoeddwyd: (2024)