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.
Results
Showing 1 to 20 of 42 for “"block model"”.
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Synthetic High Resolution Block Model for Benchmarking Mining Technologies
… associated with their estimation in the blocks mined and processed becloud the decision making in the mining value chain. In addition to grades of elements and minerals of interest, the presence of deleterious materials, as well as varying geometallurgical properties of rock materials …
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The autoregressive stochastic block model with changes in structure
… advent of online social networks. An important model within network analysis is the stochastic block model, which aims to partition the set of nodes of a network into groups which behave in a similar way. This thesis proposes Bayesian inference methods for problems related to the stochastic …
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Kinematically consistent, elastic block model for the eastern Mediterranean constrained by GPS measurements
… System (GPS) velocity field to constrain block models of the eastern Mediterranean and surrounding regions that account for the angular velocities of constituent blocks and elastic strain accumulation on block-bounding faults in the interseismic period. Kinematically consistent fault slip …
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Quantification of uncertainty of geometallurgical variables for mine planning optimisation
… geometallurgical uncertainty and enrich the block model with geometallurgical variables, which contribute to improved optimisation of mining operations. This enhanced block model is termed a geometallurgical block model. Bootstrapped non-linear regression models by projection pursuit were …
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Community Detection in Complex Networks
The stochastic block model is a powerful tool for inferring community structure from network topology. However, the simple block model considers community structure as the only underlying attribute for forming the relational interactions among the nodes, this makes it prefer a Poisson degree …
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Universal properties of low-temperature glass
… microscopic nature. Tunneling-two-level-system model (TTLS model) successfully explained several universalities below 1K, but it cannot explain the other glass low-temperature universal properties. Based on virtual phonon exchange interaction, we develop a glass generic coupled block model to …
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Improving Genetic Analysis with Augmented Experimental Designs
… addressed this problem by extending the genetic models with augmented experimental designs. Without losing the focus, two extended genetic models were proposed: generalized lattice model and sub-block model. A modeling frame work was provided for these extended genetic models using mixed linear …
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An application of 3-D modeling and optimization of the final pit limits for a lignite deposit
… (Whittle Three-D™). A three-dimensional block model of the deposit was first developed, based on the available drillhole data, with the use of the Digital Underground™, an integrated geostatistical modeling package. The largest possible utilization of the original geologic information was …
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A Comparative Study of Machine Learning and Traditional Techniques for Grade Prediction and Grade-Tonnage Evaluation in a Small VMS Deposit
… to traditional methods. A three-dimensional block model with 5 x 5 x 5 m resolution was constructed in Vulcan, and grade estimation was performed using Inverse Distance Weighting (IDW), Simple Kriging (SK), Ordinary Kriging (OK), and ensemble tree models. Traditional methods were assessed …
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Spectral analysis in bipartite biregular graphs and community detection
… recover hidden communities in a random network model we call regular stochastic block model. We rely on a technique introduced recently by Massoullie, which we develop here for random regular graphs.
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Consistent community detection in uni-layer and multi-layer networks
… Networks are flexible frameworks that can model many complex systems. In the majority of the network examples dealt with in the literature, the relations between nodes are assumed to be of the same type such as web page linkage, friendship, co-authorship or protein-protein interaction. …
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Efficient Community Detection for Large Scale Networks via Sub-sampling
… clustering algorithm for popularity-adjusted block model (PABM) model based graphs to make the algorithm exact thus improving its accuracy.
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Breeding Soybean [Glycine max (L) Merr.] Under Reduced Irrigation
… lines under reduced irrigation. The spatial models displayed better data fitting (lower AIC and/or BIC) than the block model in each different irrigation level across different environments and traits. Indeed, genotype ranking for seed yield was different between the block model and the best …
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Community detection in preferential attachment graphs
… of community detection in a new random graph model, which is a generalization of preferential attachment graphs. This model has some features that are more realistic than those of the often-studied stochastic block model (SBM). A message passing algorithm for community detection is derived, …
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Cluster detection in general Markov chains with applications to directed networks
… such as an implementation of the stochastic block model, Lancichinetti-Fortunato benchmarks, and real-world networks. We score the algorithm’s performance against other detection algorithms using validation metrics such as the Rand index. Our findings indicate that our algorithm’s performance …
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Statistical Methods for Inferring Latent Factors in Biological Networks
… systems as networks, enabling researchers to model interactions between components in a comprehensive and systematic manner. A fundamental question in network biology is the estimation of latent factors, such as protein or pathway activity, which play a critical role in driving disease …
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Fundamental Dynamics and Performance Assessment of Three-Dimensional Seismic Isolation
… the fundamental dynamic response of a simplified model consisting of a rigid block resting on isolation bearings is studied. The overall structural response of the 3D isolated block is evaluated through drift ratio, vertical and horizontal displacement and acceleration amplification factors. A …
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Three dimensional quantitative textural analysis of nickel sulphide ore using X-ray computed tomography and grey level co-occurrence matrices on drill core
… be incorporated into the geometallurgical block model and used for decision making informing mine planning, plant operation and optimisation, forecasting, and mine closure. The ability to rapidly, routinely, cost effectively and reliably quantify ore texture remains an ongoing challenge. In …
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Understanding the importance of side information in graph matching problem
… matching graphs generated using the Stochastic Block Model. We evaluate the proposed algorithms on synthetic as well as real world datasets using various experiments. The experimental results demonstrate the importance of communities as side information especially when the number of seeds is …
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Reducibility and computational lower bounds for problems with planted sparse structure
… sparse PCA and the subgraph stochastic block model. Our results demonstrate that, despite the delicate nature of average-case reductions, using natural problems as intermediates can often be beneficial, as is the case in worst-case complexity. Our main technical contribution is to …
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