Global ETD Search
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Showing 1 to 13 of 13 for “"Model Combination"”.
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Model combination by decomposition and aggregation
… focuses on a general problem in statistical modeling, namely model combination. It proposes a novel feature-based model combination method to improve model accuracy and reduce model uncertainty. In this method, a set of candidate models are first decomposed into a group of components or …
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Study of the transform domain model combination adaptive filter
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-08-01
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Essays on Model Selection Uncertainty and Model Averaging: Computational and Empirical Work with Beta Regression, Multiple Linear Regression with ARMA Innovations, and the Minimum Description Length Principle
Uncertainty in model selection is under-explored and frequently resolved non-rigorously through beliefs about generalizability, practical usefulness, and computational ease. This is problematic as model selection routinely admits multiple models which imposes extra uncertainty on all post-selection …
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The Importance Of Housing Variables In Predicting Economic Fluctuations
… the six recent recessions using factor analysis model. It shows that housing variables have great predictive power in forecasting the downturn of the economy, but little predictive power when the economy is steady or is expanding. The explanation is that housing variables match consumers' …
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English complex verb constructions: identification and inference
… English verb related MWEs, constructs stochastic models to identify these complex verb predicates within the given context and discusses empirically the significance of this MWE recognition component in the context of Textual Entailment (TE), an intricate semantic inference task that involves …
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Who Should I Trust? Uncertainty and Risk for Knowledge Transfer from Multiple Sources in Reinforcement Learning Domains
… remains a fundamental limitation of many model-free algorithms. Transfer learning mitigates this problem by using prior knowledge obtained by solving one set of tasks in order to accelerate the convergence on future tasks. However, while many frameworks have been proposed to successfully …
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Exploring the power of heterogeneous information sources
… sources: Explore their similarities (consensus combination), or their differences (inconsistency detection). In consensus combination, we focused on the task of classification with multiple information sources. Multiple information sources for the same set of objects can provide complimentary …
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The synergistic interaction between CD20 monoclonal antibodies and Histone Deacetylase inhibitors in B cell Non Hodgkin’s Lymphoma
… of B cell lines. In a Ramos xenograft model, combination treatment<br/>with suberoylanilide hydroxamic acid (SAHA) and Rituximab reduced tumour<br/>growth compared to either agent alone, without discernable toxicity. This<br/>effect appears specific to CD20 since monoclonal antibodies …
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Approximating true relevance model in relevance feedback.
… information need. Relevance-based language model aims to estimate a relevance model (i.e., a relevant query term distribution) from relevance feedback documents. The true relevance model should be generated from truly relevant documents. The ideal estimation of the true relevance model is …
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POST-EXPOSURE TREATMENT OF MARBURG VIRUS ANGOLA DISEASE IN NON-HUMAN PRIMATES USING RECOMBINANT VESICULAR STOMATITIS VIRUS VECTORS
… vaccines and therapeutics in the rhesus macaque model. Combination therapy with Th1-skewing adjuvants might enhance post-exposure protection in non-responders.
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Online Knowledge Community Mining and Modeling for Effective Knowledge Management
… this issue, I present a comparative study of models of expertise profiling in online communities and identify the model combination that delivers the best results. Next, I investigate how to automatically assess the information helpfulness of user postings. Due to the voluntary nature of …
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T cell mediated combination immunotherapy
… existing immunotherapies, and designing new combinations of immunotherapies is still critical in the fight against cancer. Although there have been ongoing successes of individual immunotherapies in the clinic, the complexity and interdependence of the immune system suggests that any single …
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A COMBINATION THERAPY OF NICOTINAMIDE AND PROGESTERONE FOR FUNCTIONAL RECOVERY FOLLOWING TRAUMATIC BRAIN INJURY
… and recovery of function in an animal model of TBI after combination treatment of both NAM and Prog. Animals received a cortical contusion injury over the sensorimotor cortex and were treated with either nicotinamide (75 mg/kg, i.p. NAM loading dose, 12 mg/kg/hr NAM, s.c. over 72 hrs), …