Thesis (M.M.)--University of North Texas, 2006. / For flute, oboe, clarinet, contrabassoon, horn , tuba, percussion (2 players), 2 violins, viola, cello, double bass, 1 laptop computer, and 2 or more loudspeakers. System requirements: Adobe Acrobat Reader. Duration: 10:00. Includes performance notes by the composer (p. 1-23). Includes bibliographical references (p. 23-24).

Diss.--Philosophie--Ann Arbor, Mich., 1966. / Contient des exemples musicaux p. 168-281. Bibliogr. p. 284-285.

Diss.--Berlin, 1994. / Bibliogr. p. 205-211.

Thesis (M.M.)--Boston University.

En physique du solide, l’étude des effets du désordre a mené à la découverte d’une transition de phase. A faible désordre le solide est conducteur. A fort désordre ce dernier devient isolant. Cette dernière porte le nom de “transition d’Anderson” ou encore de “transition métal-isolant”. Elle peut être caractérisée par un exposant critique ν. Il est prédit théoriquement que sa valeur est universelle, autrement dit, qu’elle n’est pas dépendante des détails microscopiques caractérisant le désordre, mais seulement des symétries satisfaites par le hamiltonien. La réalisation expérimentale d’un tel système est délicate. Des effets de décohérence trop nombreux viennent fausser la mesure de l’exposant critique. Pour contourner ces difficultés, nous réalisons un rotateur frappé avec des atomes froids. La dynamique quantique de ce système est connue pour être la même que celle de l’électron dans un potentiel désordonné. Nous testons alors différents jeux de paramètres régissant le désordre microscopique, et montrons que l’exposant critique ν en est indépendant. Ainsi nous prouvons expérimentalement l’universalité de la transition, ainsi que son appartenance à une classe d’universalité : l’ensemble gaussien orthogonal. Nous détaillons par ailleurs un changement de taille dans le dispositif : la réalisation d’une onde stationnaire verticale et d’une détection vélocimétrique par temps de vol. / In solid state physics, the study of the effects of disorder led to the discovery of a phase transition. For weak disorder, the solid is a conductor, whereas for strong disorder it becomes an insulator. This is known as the “Anderson transition” or as the “metal-insulator transition”, and can be characterized by a critical exponent ν. It is theoretically predicted that this exponent’s value is universal, i.e., that it is not determined by the microscopic details, but only by the symmetries of the Hamiltonian.The experimental realization of such a system in condensed matter is rather difficult. Decoherence effects cannot neglected and affect critical exponent’s value. To circumvent this phenomenon, we use cold atoms to experimentally realize a kicked rotor. The quantum dynamics of such a system are known to mimic those of the solid state problem. We hence test different sets of parameters controlling the statistical properties of the disorder, and show that the critical exponent ν is independent. We hereby prove the universality of the transition, and determine experimentally its universality class : the Gaussian Orthogonal Ensemble. We will then detail an important change in the experimental setup : the installation of a vertical standing wave, and of a time-of-flight velocimetric detection.

Master of Music / School of Music, Theatre, and Dance / Frederick Burrack / Finding a systematic process for teaching rhythms in the instrumental setting has presented its own set of challenges. Numerous factors such as time constraints, engagement, motivation, and various degrees of proficiency amongst the students can all play a part in the overall success of the group. This video presentation includes a teaching demonstration utilizing techniques acquired from MU680-A (Advanced Rehearsal Techniques). Using rhythm readiness sheets modeled by Dr. Jay Gilbert and specific rehearsal techniques taught by Dr. Frank Tracz, this presentation exhibits a process for teaching rhythms that increases retention of rhythmic patterns in a way that enables all students to engage in the learning process simultaneously. The lesson plan is explained in detail and the routine was repeated daily and eventually implemented into the twelve-minute warmup portion of the rehearsal. After three weeks the students were recorded and asked to reflect on their progression. A noticeable change was observed after the lesson was completed and applied to the piece. In addition, the method also revealed several hidden learning outcomes, such as facilitating independence as musicians, utilizing listening skills to distinguish how various patterns fit within an established pulse, and increasing student motivation by creating positive rehearsals with attainable goals. The result was a performance showcasing the growth of the ensemble’s overall musicianship. The rhythm readiness sheet and concept that was utilized in the teaching demonstration is credited to Dr. Jay Gilbert. The rhythm readiness sheet is not copyrighted or published, however expressed written consent was granted by Dr. Gilbert and can be found in the Appendix.

Despite the prominence of trombone quartets for student trombonists, there is a lack of pedagogical and performance technique literature related to the genre. Consequently, this project seeks to provide a much-needed resource that developing ensembles and instructors can use to hone their craft and enjoy a more productive quartet experience. This guide for trombone quartets will provide ensembles with fundamental knowledge concerning important aspects of trombone quartet performance such as rehearsal technique, collaboration, logistics, repertoire, and specific musical elements. This essay draws upon an analysis of chamber music literature and resources, interviews with prominent professionals, and the personal experience of the author. The research conducted for the essay informs the resulting guide for performance.

While many university students get introduced to the concept of statistics early in their education, random matrix theory (RMT) usually first arises (if at all) in graduate level classes. This thesis serves as a friendly introduction to RMT, which is the study of matrices with entries following some probability distribution. Fundamental results, such as Gaussian and Wishart ensembles, are introduced and a discussion of how their corresponding eigenvalues are distributed is presented. Two well-studied applications, namely neural networks and PCA, are discussed where we present how RMT can be applied / Medan många stöter på statistik och sannolikhetslära tidigt under sina universitetsstudier så är det sällan slumpmatristeori (RMT) dyker upp förän på forskarnivå. RMT handlar om att studera matriser där elementen följer någon sannolikhetsfördelning och den här uppsatsen presenterar den mest grundläggande teorin för slumpmatriser. Vi introducerar Gaussian ensembles, Wishart ensembles samt fördelningarna för dem tillhörande egenvärdena. Avslutningsvis så introducerar vi hur slumpmatriser kan användas i neruonnät och i PCA.

Selecting an effective method for combining the votes of classifiers in an ensemble can have a significant impact on the overall classification accuracy an ensemble is able to achieve. With some methods, the ensemble cannot even achieve as high a classification accuracy as the most accurate individual classifying component. To address this issue, we present the strategy of Heuristic Weighted Voting, a technique that uses heuristics to determine the confidence that a classifier has in its predictions on an instance by instance basis. Using these heuristics to weight the votes in an ensemble results in an overall average increase in classification accuracy over when compared to the most accurate classifier in the ensemble. When considering performance over 18 data sets, Heuristic Weighted Voting compares favorably both in terms of average classification accuracy and algorithm-by-algorithm comparisons in accuracy when evaluated against three baseline ensemble creation strategies as well as the methods of stacking and arbitration.

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