Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 20 for “"ranking algorithm"”.
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A sensitivity analysis of cyber contingency ranking within the SOCCA framework
… to model cyber-physical interconnections and by ranking contingencies based on impact and attack complexity, SOCCA presents system operators with a detailed vulnerability landscape of their networks. SOCCA’s contingency ranking algorithm relies heavily on Markov Decision Processes. These MDPs …
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SocialRank : ranking users and information in online social networks
… of SocialRank. SocialRank is a personalized ranking algorithm that provides--for each user--ratings for people in his online social network. Subsequently, these ratings are used to rank incoming information received by the user from those in his social network. We analyze the use of actions …
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IVIS: Search and visualization on heterogeneous information networks
… correlated entities. We also investigate the ranking algorithm, and we show that the personalized PageRank and proposed Hetero-personalized PageRank outperform the TF-IDF ranking or mixture of TF-IDF and authority ranking. Our work opens several directions for future research.
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An investigation into weighted data fusion for content-based multimedia information retrieval
… each of which contains an indexing function and ranking algorithm. This thesis is comprised of two halves. In the first half, we perform a rigorous empirical investigation into the factors which impact upon performance in linearly weighted data fusion. In the second half, we leverage these finding …
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Efficient coordinate descent for ranking with domination loss
We define a new batch coordinate-descent ranking algorithm based on a domination loss, which is designed to rank a small number of positive examples above all negatives, with a large penalty on false positives. Its objective is to learn a linear ranking function for a query with labeled training …
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Enhancing Search Engine Results: A Comparative Study of Graph and Timeline Visualizations for Semantic and Temporal Relationship Discovery
… in a list-based format arranged according to a ranking algorithm. Although this format is good for presenting the most relevant results to users, it fails to represent the underlying relations between different results. These relations, among others, can generally be of either a temporal or …
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Gain Conditioning for Linear Model Predictive Control
… I extend an orthogonalization-based parameter-ranking algorithm, which was originally developed to aid parameter estimation in fundamental models, so it can be used to identify and address gain conditioning problems. The proposed method ranks MVs from most influential to least influential while …
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Smart Travel Recommender System
… To make it more realistic and adaptive, our algorithm gives more weight to newer commute observations and preferences while suppressing the impact of the older ones. The recommendations are influenced by different predictor variables such as ‘Distance’, ‘Air Quality’, ‘Weather’ etc. Each …
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Webpage rank using Bayes' rule and connected components
… of the most famous link-structure based webpage ranking algorithm adopted by Google which measures the importance of the webpages by their probability of being visited. However, the bottleneck of the PageRank computing speed is the power iteration process applied on the huge webgraph of WWW, …
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An Efficient Ranking and Classification Method for Linear Functions, Kernel Functions, Decision Trees, and Ensemble Methods
Structural algorithms incorporate the interdependence of outputs into the prediction, the loss, or both. Frank-Wolfe optimizations of pairwise losses and Gaussian conditional random fields for multivariate output regression are two such structural algorithms. Pairwise losses are standard 0-1 …
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Structured entity querying over unstructured text
… concepts between two systems and also propose a ranking algorithm for the final results.
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Essays on Online Platforms and Human-Algorithm Interaction
… contains three chapters that analyze how algorithms on social media platforms influence the content that users engage with and how individuals incorporate algorithmic predictions in their decision-making. In Chapter 1, I study how engagement maximizing news feed algorithms on social media …
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Computer-aided Engineering Tools for Structural Health Monitoring under Operational Conditions
… metrics about the sensitivity of the underlining algorithm to real changes in the structure. The second part of the thesis presents a new approach for optimum model selection during vibration-based finite element model updating of civil structures. The goal of this approach is to provide an …
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Adaptive Frame Fields for Polycube Generation and Quad Simplification
… field-inspired gradients to produce a candidate ranking algorithm for quadrilateral mesh simplification. We find that we can greatly simplify quad meshes with complicated singularities.
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Design and implementation of a cyberinfrastructure for RNA motif search, prediction and analysis
… integrates an RNA secondary structure comparison algorithm with the secondary structure motifs stored in the Rfam database. With a user-friendly interface, RmotifDB provides the ability to search for ncRNA structure motifs in both structural and sequential ways. The second component of RNAcyber is …
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Interactive query expansion and relevance feedback for document retrieval systems
… feedback system that uses term weighting and ranking in searching online databases that are available through online vendors. Previous evaluations of relevance feedback systems have been made in laboratory conditions and not in a real operational environment. The research presented in this …
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Building Strategic AI Agents for Human-centric Multi-agent Systems
… We start by developing a regret minimization algorithm for modeling actions of strong and human-like agents called piKL, which incorporates a cost term proportional to the KL divergence between a search policy and a humanimitation learned policy. This approach improves reward while keeping …
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Innovation and Competition in the Digital Economy: Implications for Internet Platforms, Telecommunications Networks and Data Sharing Initiatives
… projects. The first study deals with the ranking of content on Internet platforms and how it affects the incentives of content providers to invest in content quality. The focus of the study is on sponsored ranking and organic ranking, but the case that a vertically integrated content …
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A Machine Learning Classification Framework for Early Prediction of Alzheimer’s Disease
… prediction approaches, and the concept of ranking the risk factors based on clinical instinct, knowledge and experience using mathematical reasoning, we carried out experiments to get further insight and investigate the disease further using machine learning models. In this study, we used …
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Analyzing Networks with Hypergraphs: Detection, Classification, and Prediction
… a spatiotemporal topic-specific influencer user ranking algorithm. 4) Performing extensive experiments to demonstrate the efficacy of our proposed framework. For the third method, we address the challenge of bot detection on social media platform X, where there's an inherent imbalance between …