817 research outputs found

    Generation of folk song melodies using Bayes transforms

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    The paper introduces the `Bayes transform', a mathematical procedure for putting data into a hierarchical representation. Applicable to any type of data, the procedure yields interesting results when applied to sequences. In this case, the representation obtained implicitly models the repetition hierarchy of the source. There are then natural applications to music. Derivation of Bayes transforms can be the means of determining the repetition hierarchy of note sequences (melodies) in an empirical and domain-general way. The paper investigates application of this approach to Folk Song, examining the results that can be obtained by treating such transforms as generative models

    Comparing Probabilistic Models for Melodic Sequences

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    Modelling the real world complexity of music is a challenge for machine learning. We address the task of modeling melodic sequences from the same music genre. We perform a comparative analysis of two probabilistic models; a Dirichlet Variable Length Markov Model (Dirichlet-VMM) and a Time Convolutional Restricted Boltzmann Machine (TC-RBM). We show that the TC-RBM learns descriptive music features, such as underlying chords and typical melody transitions and dynamics. We assess the models for future prediction and compare their performance to a VMM, which is the current state of the art in melody generation. We show that both models perform significantly better than the VMM, with the Dirichlet-VMM marginally outperforming the TC-RBM. Finally, we evaluate the short order statistics of the models, using the Kullback-Leibler divergence between test sequences and model samples, and show that our proposed methods match the statistics of the music genre significantly better than the VMM.Comment: in Proceedings of the ECML-PKDD 2011. Lecture Notes in Computer Science, vol. 6913, pp. 289-304. Springer (2011

    From holism to compositionality: memes and the evolution of segmentation, syntax, and signification in music and language

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    Steven Mithen argues that language evolved from an antecedent he terms “Hmmmmm, [meaning it was] Holistic, manipulative, multi-modal, musical and mimetic”. Owing to certain innate and learned factors, a capacity for segmentation and cross-stream mapping in early Homo sapiens broke the continuous line of Hmmmmm, creating discrete replicated units which, with the initial support of Hmmmmm, eventually became the semantically freighted words of modern language. That which remained after what was a bifurcation of Hmmmmm arguably survived as music, existing as a sound stream segmented into discrete units, although one without the explicit and relatively fixed semantic content of language. All three types of utterance – the parent Hmmmmm, language, and music – are amenable to a memetic interpretation which applies Universal Darwinism to what are understood as language and musical memes. On the basis of Peter Carruthers’ distinction between ‘cognitivism’ and ‘communicativism’ in language, and William Calvin’s theories of cortical information encoding, a framework is hypothesized for the semantic and syntactic associations between, on the one hand, the sonic patterns of language memes (‘lexemes’) and of musical memes (‘musemes’) and, on the other hand, ‘mentalese’ conceptual structures, in Chomsky’s ‘Logical Form’ (LF)

    Developing a Scheduling Module For Construction Management Labs

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    The Cal Poly Construction Management Department is renowned as one of the best programs in the nation. From holding one of the highest competition success rates to almost 100% job placement right out of school for graduates, Cal Poly undoubtedly lives up to that reputation. With that, in order to ensure that the department continues to produce well rounded graduates, it is crucial to regularly assess any potential shortcomings that the construction management curriculum may possess. As one of the three sides of the construction management triangle, the ability to read and create a construction schedule is a crucial skill for any project engineer or manager to possess. There is a broad spectrum of elements that go into creating a project schedule: from the programs, to the sequencing, to the overall logistics. This topic is something that is lacking in the current curriculum. This construction scheduling module would add to the overall Cal Poly Construction Management degree as well as benefit the graduates for the entirety of their careers

    A Memetic Analysis of a Phrase by Beethoven: Calvinian Perspectives on Similarity and Lexicon-Abstraction

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    This article discusses some general issues arising from the study of similarity in music, both human-conducted and computer-aided, and then progresses to a consideration of similarity relationships between patterns in a phrase by Beethoven, from the first movement of the Piano Sonata in A flat major op. 110 (1821), and various potential memetic precursors. This analysis is followed by a consideration of how the kinds of similarity identified in the Beethoven phrase might be understood in psychological/conceptual and then neurobiological terms, the latter by means of William Calvin’s Hexagonal Cloning Theory. This theory offers a mechanism for the operation of David Cope’s concept of the lexicon, conceived here as a museme allele-class. I conclude by attempting to correlate and map the various spaces within which memetic replication occurs

    Information dynamics: patterns of expectation and surprise in the perception of music

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    This is a postprint of an article submitted for consideration in Connection Science © 2009 [copyright Taylor & Francis]; Connection Science is available online at:http://www.tandfonline.com/openurl?genre=article&issn=0954-0091&volume=21&issue=2-3&spage=8

    Real options approach for a staged field development with optional wells

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    With the decreasing average size of new discoveries in mature production areas, the uncertainties in the base of oil field investment decisions are continually increasing. Fewer appraisal wells, which allow to decrease the amount of subsurface uncertainty, are typically drilled before the development of a small field compared to large fields. In this context, novel solutions must be established to commercialize small discoveries under technical and market uncertainties. In such conditions, managerial flexibilities, which enable to change the course of the project in the event of new information acquisition, must be critically considered in the investment valuation process. Combining the real options approach and decision analysis, we establish a novel model to identify the additional value created by a sequential drilling strategy for field development under oil price and resource uncertainty. In particular, we capture the sequence of the key investment and operating decisions pertaining to a marginal field development in cooperation with an oil industry partner, which corresponds to a synthetic yet realistic project case. By considering the flexibility in dividing the production well drilling into two stages, we adopt the least-squares Monte Carlo algorithm to evaluate the option to wait to expand the production by drilling additional wells. Furthermore, we identify the conditions in which the staged (phased) development is preferable against standard development. We propose a decision rule to determine the optimal expansion timing based on the acquisition of new information on the reservoir and oil price uncertainty. Our results suggest that staged development carries large upside potential for the marginal field development under extensive reservoir uncertainty. In addition, partial hedging against the downside risks in the staged development can enhance the project's economy in a sufficiently significant manner to justify investment.publishedVersio
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