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 2104 for “"Ensemble"”.
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Multistage neural network ensemble: adaptive combination of ensemble results
… decade, more and more research has shown that ensembles of neural networks (sometimes referred to as committee machines or classifier ensembles) can be superior to single neural network models, in terms of the generalization performance they can achieve on the same datasets. Combining a set of …
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Ensemble regression : using ensemble model output for atmospheric dynamics and prediction
Ensemble regression (ER) is a linear inversion technique that uses ensemble statistics from atmospheric model output to make dynamical inferences and forecasts. ER defines a multivariate regression operator using ensemble forecasts and analyses to determine the most probable predict and …
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Biloba for chamber ensemble
Biloba is a chamber piece for eight instruments inspired by the Gingko biloba tree. In an abstract way, the piece attempts to capture the movements - to me, the structural details of a tree give the illusion of dancers frozen in time - and textures exhibited by the tree, as well as the environment …
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Optimal survival trees ensemble
… on individual and collective performance in an ensemble has recently been studied for classification and regression problems. Following this notion, the possibility of selecting optimal survival trees is considered in this work. Initially, a large set of survival trees are grown by the method of …
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Stacking Ensemble for auto_ml
… thesis then proposes and implements a stacking ensemble technique in order to build protection against over-fitting for small datasets into the auto ml framework. Stacking is a technique used to combine a collection of Machine Learning models’ predictions to arrive at a final prediction. The …
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Symphonic Movement for Wind Ensemble
1 score (41 p.)
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Geometric Control of Ensemble Systems
… examples range from excitations of spin ensembles in nuclear magnetic resonance (NMR) spectroscopy and imaging (MRI), and desynchronization of neuron ensembles for the treatment of neurological disorders, to approximate steering of robot swarm under bounded model perturbation. However, …
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Cryptogram (2011) for wind ensemble
… a nine-minute, one-movement composition for wind ensemble that explores the use of embedded musical quotations to generate basic melodic, harmonic, and formal structures. In contrast to traditional quotation, where appropriated music is often presented in a recognizable context, the source …
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Ensemble Methods for Anomaly Detection
… </p> <p>We address this problem, proposing ensemble anomaly detection techniques that perform well in many applications, with four major contributions: using bootstrapping to better detect anomalies on multiple subsamples, sequential application of diverse detection</p> <p>algorithms, a …
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Randomness In Tree Ensemble Methods
Tree ensembles have proven to be a popular and powerful tool for predictive modeling tasks. The theory behind several of these methods (e.g. boosting) has received considerable attention. However, other tree ensemble techniques (e.g. bagging, random forests) have attracted limited theoretical …
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Randomness In Tree Ensemble Methods
Tree ensembles have proven to be a popular and powerful tool for predictive modeling tasks. The theory behind several of these methods (e.g. boosting) has received considerable attention. However, other tree ensemble techniques (e.g. bagging, random forests) have attracted limited theoretical …
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THE CONDUCTOR AND THE ENSEMBLE
… self- emotional control and conflict with the ensemble members. When I was inexperienced, it was easy for me to be nervous and tense. Sometimes I lost the ability to control my temper and facial expression and couldn't communicate with the ensemble well enough. I was aware that the interaction …
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Random Projection Optimal Trees Ensemble
Ensemble classifiers, formed by the combination of multiple weak learners, have been shown to outperform ordinary classification methods in that the former decrease bias, variance and/or improve predictions. These classifiers, however, can still result in low prediction performance when used with …
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Intonational strategies in ensemble singing
… pitch as compared to other musical instruments. Ensemble singing was also required, as harmonic context may be important in the clarification of the issue, Chapter One, as an introduction to the subject, considers tuning systems and temperaments and briefly reviews the experimental literature on …
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Ensemble control of Hamiltonian systems
… the conditions under which a particular kind of ensemble control system is controllable. Previous studies on this topic have tended to make simplifying assumptions on the systems in view, and this paper attempts to remove some of those assumptions. Even in a non-linear ensemble system, it can be …
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Ensemble control of robotic systems
In this dissertation, we apply the framework of ensemble control theory to derive an approximate steering algorithm for two classical robotic systems---the nonholonomic unicycle and the plate-ball manipulator---in the presence of model perturbation that scales all inputs by an unknown but bounded …
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Ensemble Within and Across Musical Instruments
… than the specific details of the stimulus. This "ensemble coding" or summary statistical perception has been widely documented for the visual system, and has recently been found to also hold for sound perception. For example, when a sequence of tones is played, observers are poor at remembering …
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Retinal ensemble coding under dynamic conditions
Spike trains of retinal ganglion cells transfer visual information from the eye to the brain. Since natural scenes comprise several visual features, this study investigates how the activity of retinal ganglion cells encodes motion information under dynamic light intensity conditions. Multiple …
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