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Relevant bibliographies by topics / Inference training / Dissertations / Theses

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Dissertations / Theses on the topic 'Inference training'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Thomas, Owen Matthew Truscott. "Scalable inference and private co-training for Gaussian processes." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:f7282b97-431b-466d-b7a5-1b55e05dc250.

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Two principal problems are pursued in this thesis: that of scaling inference for Gaussian process regression to very large numbers of data points, and that of differentially private co-training between multiple Gaussian processes with distinct private views of the data. The first chapter acts as an introduction to Bayesian nonparametric regression and standard techniques for performing scalable inference and differentially private communication with Gaussian Processes. The second chapter explores the use of Tucker decomposition and Kronecker structure of variational distributions in order to u

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2

Raut, Chandra Kant. "Discriminative adaptive training and Bayesian inference for speech recognition." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608866.

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3

Moldoveanu, Matei. "In-Network Learning : Distributed Training and Inference in Communication Networks." Electronic Thesis or Diss., Université Gustave Eiffel, 2023. http://www.theses.fr/2023UEFL2003.

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Nous étudions le problème de l'apprentissage statistique distribué. Plus précisément, nous considérons le cadre d'apprentissage distribué et d'inférence. Dans le scénario considéré, plusieurs nœuds doivent travailler ensemble pour prédire une certaine quantité d'intérêt/d'événement au niveau d'un nœud central. Certains nœuds observent les données liées à la quantité cible, tandis que d'autres ne le font pas ; cependant, les nœuds qui n'ont pas accès aux données forment un lien entre le nœud central et les nœuds qui observent les données. Nous considérons le cas où un graphe orienté acyclique p

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4

Arun, Abhishek. "Probabilistic inference for phrase-based machine translation : a sampling approach." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/4815.

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Recent advances in statistical machine translation (SMT) have used dynamic programming (DP) based beam search methods for approximate inference within probabilistic translation models. Despite their success, these methods compromise the probabilistic interpretation of the underlying model thus limiting the application of probabilistically defined decision rules during training and decoding. As an alternative, in this thesis, we propose a novel Monte Carlo sampling approach for theoretically sound approximate probabilistic inference within these models. The distribution we are interested in is

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5

Coy, Christopher G. "A Hybrid-Genetic Algorithm for Training a Sugeno-Type Fuzzy Inference System with a Mutable Rule Base." University of Toledo / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1289243615.

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Scotese, Kyle C. "A Diatom Phosphorus Inference Model for 30 Freshwater Lakes in NE Ohio and NW Pennsylvania." Cleveland State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=csu1231522511.

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7

Mladenovic, Jelena. "Computational Modeling of User States and Skills for Optimizing BCI Training Tasks." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0131.

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Les Interfaces Cerveaux-Ordinateur (ICO) sont des systèmes qui permettent de manipuler une machine avec sa seule activité cérébrale. Elles sont utilisées pour accomplir des objectifs variés, par exemple afin qu’un amputé puisse manipuler un bras robotique, pour une réhabilitation neuronale en cas d’accident vasculaire cérébral, dans un cadre ludique pour jouer à des jeux vidéo, etc. Une ICO comprend l’acquisition du signal cérébral (le plus souvent par électroencéphalographie, EEG), le décodage et l’interprétation de ce signal, et enfin la production d’un retour sensoriel à l’utilisateur. Ce r

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Макогон, Роман Олександрович. "Прогноз курсу криптовалюти Bitcoin на основі мереж Байєса". Master's thesis, КПІ ім. Ігоря Сікорського, 2019. https://ela.kpi.ua/handle/123456789/32006.

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У світі працюють ефективні рішення побудовані на базі Блокчейн, такі як наприклад Біткоін - інноваційна мережа платежів та цифрова валюта. З цією технологією тісно пов’язані великі дані. Одна з галузей, що зараз активно накопичує такі дані – біржі обміну криптовалют – Binance, EXMO, Bittrex, та інші. Наразі існує потреба в інструментах, які дозволяють аналізувати такі дані, щоб отримувати корисну інформацію, придатну для комерційного застосування. Мережі Байєса є ефективним інструментом для вирішення цієї задачі. Метою дослідження є створення системи підтримки прийняття рішень (СППР), що приз

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9

Lundstrom, Joel Thomas. "A new use of frame-of-reference training : improving reviewers' inferences from biodata information." Diss., Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/444.

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10

Mardock, Michelle Anne. "Muscular Strength Training Modifies Regulation of Bone Remodeling: Inferences From Serum Biomarkers in Young Women." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/34631.

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Biochemical markers of bone turnover allow inference of the events occurring at the bone tissue level and may detect changes in bone cell activity earlier than densitometric technologies. Serum concentrations of receptor activator for nuclear factor kappa-beta ligand (RANKL), osteoprotegerin (OPG), osteocalcin, and N-telopeptide (NTx) were measured in women aged 20 + 1.5 years (mean + SD) who underwent 32 weeks of unilateral isokinetic concentric or eccentric muscular strength training. Changes in serum biomarkers were compared with changes in arm and leg flexor and extensor muscle strength.

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11

林皇君. "A Study on Fuzzy Inference Systems with Supervised Training Scheme." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/79886806625779780309.

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碩士<br>建國科技大學<br>自動化工程系暨機電光系統研究所<br>99<br>The Particle Swarm Optimization (PSO), one of the optimization algorithms, is popularly used to adjust the Membership Function (MF) of the fuzzy inference systems (FIS) in the literature. These adjustments include changing the shape or location of MF. On the other hand, fuzzy theory is also used to decide the values of PSO’s constants, such as the inertial coefficient and acceleration coefficients in the velocity equation. These hybrid optimization algorithm shave been proven their superior performance in various applications. Accordingly, based on the

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12

Hase, Shurin. "Effectiveness of training in Bayesian inference on accuracy of posterior probability judgment." 2004. http://hdl.handle.net/1828/557.

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13

Kuo, Hsin-Hsien, and 郭信賢. "A Research of Fuzzy Logic Inference System on Logistics Training of Army Military School." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/53935912749900860155.

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碩士<br>國防大學管理學院<br>資源管理及決策研究所<br>99<br>This study was integrated the Delphi method with the fuzzy inference system to develop logistics training system architecture of the Mergence of the Military Schools. This architecture includes 5 criteria and 19 successful critical factors. And then, this study used the fuzzy inference system to make sensitivity analysis of the criteria and factors. This study can provide decision makers to view the current training processes and training objective. At same time, it can promote the overall purpose of the training by using of adapted correct the training mo

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14

Chen, Yi-Wen, and 陳怡文. "The Inference of Training Effectiveness from Personality Traits and Emotional Management for Beauty Pageant Contestants." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/58719444772695889590.

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碩士<br>台南應用科技大學<br>生活應用科學研究所<br>102<br>Beauty pageant contests over the world have a long history of 126 years. Varied from small to large scale, competitions are held in many places around the world. This research is to investigate the emotion management of pageant contestants, and analyze the effectiveness of emotion management, and compare the effectiveness as a result of different backgrounds. Hopefully, this research can be a useful reference for the beauty contest rel ated organizations. In this study, Taiwan’s pageant contestantsparticipated as the research objects, who answered through

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15

Siya, Liao, and 廖思雅. "The Study of the Effects of Intention Inference Training Program for Children with Autistic Spectrum Disorders." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/22639634850620385213.

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碩士<br>國立彰化師範大學<br>復健諮商研究所<br>100<br>The purpose of this study is to investigate the training effect among two autistic spectrum disorder children by providing intention inference training program. One participant of this study is an elementary school student with mild autism and the other one is a preschooler with high-functioning autism. A single-subject experimental design of multiple probes across behaviors was used in this study. The independent variables were intention inference training program; while the dependent variables of this study were the training effect of intention inference a

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16

Wikén, Victor. "An Investigation of Low-Rank Decomposition for Increasing Inference Speed in Deep Neural Networks With Limited Training Data." Thesis, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235370.

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In this study, to increase inference speed of convolutional neural networks, the optimization technique low-rank tensor decomposition has been implemented and applied to AlexNet which had been trained to classify dog breeds. Due to a small training set, transfer learning was used in order to be able to classify dog breeds. The purpose of the study is to investigate how effective low-rank tensor decomposition is when the training set is limited. The results obtained from this study, compared to a previous study, indicate that there is a strong relationship between the effects of the tensor deco

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17

Goyal, Anirudh. "Improved training of generative models." Thèse, 2018. http://hdl.handle.net/1866/22073.

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18

"Second language reading instruction: inferencing strategy training at the secondary 2 level." 2001. http://library.cuhk.edu.hk/record=b5890739.

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Cheung Po-yan.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2001.<br>Includes bibliographical references (leaves 278-285).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Acknowledgements --- p.iii<br>Page<br>Chapter Chapter 1 --- Introduction<br>Chapter 1.1 --- The Problem --- p.1<br>Chapter 1.2 --- Rationale for the Study --- p.3<br>Chapter 1.3 --- Significance of the Study --- p.4<br>Chapter Chapter 2 --- Inferencing and Its Relationship to Learning Strategy and Reading<br>Chapter 2.1 --- Overview of Learning Strategies --- p.6<br>Chapter 2.1.1 --- Definitions of

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19

Govender, I. (Irene). "Default reasoning and neural networks." Diss., 1998. http://hdl.handle.net/10500/16865.

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In this dissertation a formalisation of nonmonotonic reasoning, namely Default logic, is discussed. A proof theory for default logic and a variant of Default logic - Prioritised Default logic - is presented. We also pursue an investigation into the relationship between default reasoning and making inferences in a neural network. The inference problem shifts from the logical problem in Default logic to the optimisation problem in neural networks, in which maximum consistency is aimed at The inference is realised as an adaptation process that identifies and resolves conflicts between existing kn

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