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 15 of 15 for “"Ranking methods"”.
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Markov-based ranking methods
<p>Ranking methods are an essential tool to help make decisions. This dissertation document examines different aspects of the theory and application of pairwise comparison ranking methods, specifically those that use Markov chains. First, a new method is developed to solve a traditional recruiting …
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In silico prediction of non-coding RNAs using supervised learning and feature ranking methods
… conservation index across all classification methods, with the exception of Fisher Linear Discriminant. The RNAMultifold method is then used to search the genome of a Trypanosome species (Trypanosoma brucei) for novel ncRNAs. The results of this search are compared with known ncRNAs and with …
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Screening Geostatistical Realizations for SAGD Reservoir Simulation
… the statistical nature of the geostatistical methods yields many different possible distributions of reservoir properties. As these static models have the same spatial continuity and honor known data, they are called realizations. Flow simulation of these realizations results in translation of …
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Towards the integration of genomic profiles and gene interaction networks for machine learning
… that are not necessarily implicated by gene ranking methods such as PageRank. Last, we apply network propagation to a dataset presented by the DREAM organization, and show we can improve a naive linear regression that solves for a drug sensitive ranking task."
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The impact of dependency analysis on prospect ranking and portfolio evaluation : a case study in offshore Brazil
… use of available resources in all four different ranking methods tested, thus highlighting the importance of this approach to a more accurate portfolio evaluation and informed business decisions.
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Fair Scheduling and Resource Allocation for Public Services
… and fairness for prediction, allocation, and ranking tasks. First, we dive deep into the real-world application of a predictive model used by the Chicago Department of Public Health to schedule restaurant inspections and uncover the cause of unfairness, constituting geographic inequities in …
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Probabilistic information retrieval in a distributed heterogeneous environment
… have to be indexed. At this indexing methods using different indexing vocabularies can be employed. A query provided by a user is answered in terms of a ranked list of documents. The model determines a procedure for ranking the documents that stems from the Probability Ranking …
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Ranking techniques for keyphrase extraction
… we present a number of advancements to the ranking methods and features used to automatically extract keyphrases. We demonstrate that, through the reweighing of training examples, the quality of the learned bagged decision trees can be improved with negligible runtime cost. We use reranking …
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Pruning Convolution Neural Network (SqueezeNet) for Efficient Hardware Deployment
… to solve these problems. This thesis proposes methods to prune the convolution neural network (SqueezeNet) without introducing network sparsity in the pruned model. This thesis proposes three methods to prune the CNN to decrease the model size of CNN without a significant drop in the accuracy …
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Integer optimization methods for machine learning
… we propose new mixed integer optimization (MIO) methods to ad- dress problems in machine learning. The first part develops methods for supervised bipartite ranking, which arises in prioritization tasks in diverse domains such as information retrieval, recommender systems, natural language …
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AXEL: A framework to deal with ambiguity in three-noun compounds
… of association of three-noun compounds enabling ranking methods. Weighing methods delivered mechanisms of classification of meanings towards Word Sense Disambiguation (WSD). Overall these results attempted to tackle difficulties in understanding studies of Lexical Semantics via software tools.
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Nonlinear uncertainty analysis for multiple criteria natural resource decision support systems
… importance orders and four possible alternative ranking schemes. Two of the importance orders and their associated scale factors are based on the uncertainties in evaluating decision criteria. The ranking methods are based on varying the point at which averaging of the data takes place with …
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CROSS-LAYER ADAPTATION OF SERVICE-BASED SYSTEMS
… Based on these criteria we present two possible ranking methods, one relying on simple additive weighting - multiple criteria decision making, the other relying on fuzzy logic. The framework is implemented and integrated in a toolkit that allows for constructing and selecting the cross-layer …
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Design and evaluation of network survivability schemes for correlated multi-failure scenarios
… diverse working/backup path pairs and then uses ranking methods to select the most balanced combination. This framework applies graph-theoretic principles and hence can readily be integrated into real-world traffic provisioning systems. The performance of the proposed solution is evaluated using …
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Towards measuring attention allocation in model-based engineering teamwork
… the experiment time-slot. Pareto frontier based ranking methods are used to rank team performance. The performance across different groups are compared using hypothesis testing methods. Results suggest that strategy discussions help to arrive at more effective problem-solving. These results are …