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 64 for “"Information Gain"”.
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A Pairwise Feature Selection Method For Gene Data Using Information Gain
… Our experiment combines the TDP methodology with information gain (ig) to achieve an effective feature set. To illustrate the effectiveness of TDP with ig, we applied this method to two breast cancer datasets (Wang et al., 2005 and Van't Veer et al., 2002). The result from these experimental …
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Agent Identification Using Information Gain and Gini Indexing Methods for Intelligent Control
<p>The amount of data stored to gather information is growing at an amazing speed nowadays which leads to the difficulties of extracting knowledge from that data. The field of Data mining plays an important role in the extraction of implicit and actionable knowledge from extremely large datasets. …
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Optimal Bayesian experimental design in the presence of model error
… data for inference and prediction. We propose an information theoretic framework and algorithms for robust optimal experimental design with simulation-based models, with the goal of maximizing information gain in targeted subsets of model parameters, particularly in situations where experiments …
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Effects of narration on recall of television news: Remembering the video photo essay
Television viewers were tested on their level of information gain from the visual as well as the auditory channels of a TV news story. A story was presented in two modes: one with narration (narrated mode) and one without narration (video photo essay mode). In each presentation, the story was shown …
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BAYESIAN SEQUENTIAL OPTIMAL EXPERIMENTAL DESIGN FOR INVERSE PROBLEMS USING DEEP REINFORCEMENT LEARNING
… algorithms. Using KL-divergence as a measure of information gain, we construct objectives to maximize information gain for batch design, greedy design, black-box Bayesian optimization, multi-armed bandit optimization, dynamic programming, approximate dynamic programming, and reinforcement …
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Development and analysis of intelligent computation based stock forecasting and trading systems
… network and two supporting technologies, namely information gain and principal component analysis, to manage stock portfolios."--Abstract, page iii.
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Active Perception for Inertial-Aided Systems
… Planning (IPP) frameworks that actively maximize information gain in inertial-aided perception tasks of extrinsic calibration, localization and mapping. Firstly, we propose an algorithm to generate continuous and differentiable paths based on Gaussian Process (GP) regression and Linear operators, …
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Knowing to Ask and Asking to Know: The Reciprocal Nature of Inquiry and Selectivity
… justified their choices by referencing relative information gain did not predict their identification of a better questioner in the generalization trials, though it did increase significantly with age and was significantly predicted by their scores in the Question Game. This suggests that, with …
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Bayesian Active Structure Learning for Gaussian Process Probabilistic Programs
… for GPs with a novel objective function, Kernel Information Gain (IG-K), to reduce uncertainty over model structure and parameters. As a baseline for comparison, we also formulate a second objective function, Predictive Information Gain (IG-P), that reduces uncertainty over the posterior …
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An enhanced feature selection technique for classification of group based holy Quran verses
… FS technique is a combination of filter-based information gain (IG) and wrapper-based CFS algorithms. The purpose of combining these two FS algorithms is to achieve both high classification accuracy performance (wrapper) at lower computational runtime (filter). The study also developed a …
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Effects of Examples as Context on Learning New Information From Expository Materials
… effects of context on reading comprehension and information gain of fifth graders using expository materials. In Experiment 1, the simple physical science principle of pulleys was presented in three different forms. For the subjects in the no-context condition, the principle was explained with no …
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Improved Designs for Application Virtualization
… the associated hardware resources, we perform an information gain analysis. We draw two lower bounds of the information gain brought by an attribute set required to achieve a prefetch hit rate. We organize the probability model as a look-up table: LUT). Similar to the memory hierarchy which is …
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Logistic Regression for Prospectivity Modeling
… statistical measures Wald statistic and Bayes' information criterion making it suitable for the processing of large data and a high number of variables that emerge in the nonlinear setting of logistic regression. The obtained models of our suggested method are parsimonious allowing for an …
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Data processing and inference methods for zero knowledge nuclear disarmament
… of nuclear warheads without it being possible to gain knowledge about these attributes. Nuclear resonance fluorescence (NRF) imaging potentially enables the physically-encrypted verification of nuclear weapons in a manner that would meet treaty requirements. This thesis examines the physics behind …
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Efficiently Learning Monotone Decision Trees with ID3
… distribution. In this paper, I take the ID3 information-gain-first classification algorithm and apply it to the task of learning monotone Boolean functions from examples that are uniformly distributed over {0,1}^n. I limited my scope to the class of monotone Boolean functions that can be …
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Efficient Mapping of Environmental Phenomena with Autonomous Robotic Systems
… a communication criteria that maximizes mutual information to facilitate collaborative multi-agent mapping in low communication bandwidth environments. Simulation experiments explore the trade-off between model similarity and joint information gain. Next, we examine the environmental monitoring …
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Image Retrieval using Landmark Indexing for Indoor Navigation
… of the images in the map sufficiently increases information gain, and mapping of similar features to the same landmark reduces the search space to improve search efficiency. Empirical evidence from experiments on real datasets shows high (90-100%) accuracy in image retrieval, and improvement in …
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Deep learning survival analysis for clinical decision support in deceased donor kidney transplantation
… intuition and ability to digest complex information in order to maximize patient survival. Risks affecting patient survival post-KT must be balanced with the risks of remaining on the waitlist. These risks include mortality, graft failure, and becoming too sick to transplant. The …
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Target search methods for space situational awareness
… efficient search techniques. In this work, information-theoretic methods for searching a target in a large probability distribution using a space based sensor is considered. One intuitive approach is to steer the sensor towards regions of high probability density. Alternatively, …
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