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Global Expectation-Violation as Fitness Function in Evolutionary Composition [chapter]

Tim Murray Browne, Charles Fox
2009 Lecture Notes in Computer Science  
Evaluation shows an automated composition to be effectively indistinguishable from a similarly constrained composition by an experienced composer.  ...  We demonstrate the use of such a fitness function in an evolutionary algorithm for a highly constrained task of composition from pre-determined musical fragments.  ...  We combine Abdallah and Plumbley's notion of expectation-violation with a classic neural-network listening model [2] .  ... 
doi:10.1007/978-3-642-01129-0_60 fatcat:ezd7b5fcxbfebpludr7mymztdi

A novel bioinformatic strategy for unveiling hidden genome signatures of eukaryotes: self-organizing map of oligonucleotide frequency

Takashi Abe, Shigehiko Kanaya, Makoto Kinouchi, Yuta Ichiba, Tokio Kozuki, Toshimichi Ikemura
2002 Genome Informatics Series  
We used an unsupervised neural network algorithm, Kohonen's self-organizing map (SOM), to analyze di- and trinucleotide frequencies in 9 eukaryotic genomes of known sequences (a total of 1.2 Gb); S. cerevisiae  ...  separations of most sequences were obtained with the SOMs.  ...  The DNA sequences of Fugu has been provided freely by the Fugu Genome Consortium for use in this publication/correspondence only.  ... 
pmid:14571370 fatcat:55olpfufgja37kpjlpwljw5boi

On musical stylometry—a pattern recognition approach

Eric Backer, Peter van Kranenburg
2005 Pattern Recognition Letters  
Krebs should be considered in all probability as the composer of the fugue in question.  ...  With this data set of compositions of undisputed authorship, the F minor fugue for organ, BWV 534 (of which BachÕs authorship is disputed) then was confronted.  ...  Bach): 8 fugues (as above; all composed by J.L. Krebs); • W.F. Bach (J.S. BachÕs son): 5 fugues (as above;all composed by W.F. Bach). Fig. 1 . 1 Windowing over an entire composition.  ... 
doi:10.1016/j.patrec.2004.10.016 fatcat:pnbagbjjlzfpxbolkgeyho5haq

Towards "general purpose" brain-inspired computing system

Youhui Zhang, Peng Qu, Weimin Zheng
2021 Tsinghua Science and Technology  
Further, some key features of this concept are presented through the comparison with the Turing completeness and approximate computation, and the analyses of the relationship with "general-purpose" brain-inspired  ...  corresponding system hierarchy, which is helpful to determine the capability boundary of brain-inspired computing system and to judge whether hardware and software of brain-inspired computing are compatible with  ...  Further, the computer hierarchy composed of the software layer, the compiler layer, and the hardware layer can ensure that the application software and the hardware design are compatible with each other  ... 
doi:10.26599/tst.2021.9010010 fatcat:4woqwaawkbbjrn62xpt7rtgrsy

Convolution-based classification of audio and symbolic representations of music

Gissel Velarde, Carlos Cancino Chacón, David Meredith, Tillman Weyde, Maarten Grachten
2018 Journal of New Music Research  
Bach to study the method's capacity to distinguish preludes from fugues.  ...  However, in multi-class composer identification, methods specialized for classifying symbolic representations of music are more effective.  ...  Possibly, we would need to exchange one of the k-NN based classifiers with another algorithm or use a more sophisticated ensemble method.  ... 
doi:10.1080/09298215.2018.1458885 fatcat:mrkcp66h2rd5xjzxay3ywahsku

The Fugu tyrp1 promoter directs specific GFP expression in zebrafish: tools to study the RPE and the neural crest-derived melanophores

Jian Zou, Friedrich Beermann, Jianxin Wang, Koichi Kawakami, Xiangyun Wei
2006 Pigment Cell Research  
In vertebrates, pigment cells account for a small percentage of the total cell population and they intermingle with other cell types.  ...  In pt101, GFP is expressed in both retinal pigment epithelium (RPE) cells and the neural crest-derived melanophores (NCDM), whereas in pt102, GFP is predominately expressed in the NCDM.  ...  Acknowledgments The authors thank Anne Catalano for assistance in manuscript preparation, Kira Lathrop for assistance in using the MetaMorph software, Nancy Zurowski for help with flow cytometry.  ... 
doi:10.1111/j.1600-0749.2006.00349.x pmid:17083488 pmcid:PMC2920493 fatcat:nkwjyem6gzem5n7w56yrzbnl4i

MCMA: A Symbolic Multitrack Contrapuntal Music Archive

Anna Aljanaki, Stefano Kalonaris, Gianluca Micchi, Eric Nichols
2021 Empirical Musicology Review  
., neural machine translation). For example, MCMA can be particularly useful in the context of language-based machine learning models for music generation.  ...  The music represented in MCMA is by 5 Baroque composers and written between 1674 and 1750.  ...  Figure 3 shows an example taken from the same fugue in Figure 1 . This particular fugue is in three voices; therefore, it was expanded to three tracks.  ... 
doi:10.18061/emr.v16i1.7637 fatcat:udmnuvn2s5ddrag5p46laspkg4

Comparing Voice And Stream Segmentation Algorithms

Nicolas Guiomard-Kagan, Mathieu Giraud, Richard Groult, Florence Levé
2015 Zenodo  
[5] proposed a machine learning model with a neural network to separate voices in lute tablatures.  ...  Finally, we kept 97 MIDI files with at least 2 voices, composed on average of 3.0 voices (see Table 1 ).  ... 
doi:10.5281/zenodo.1414916 fatcat:bvzsed6fwjbxxejh7rsnig7jii

The distance-profile representation and its application to detection of distantly related protein families

Chin-Jen Ku, Golan Yona
2005 BMC Bioinformatics  
We describe an algorithm that improves over the state of the art in homology detection by utilizing global information on the proximity of entities in the protein space.  ...  Using several performance measures we show that the new tool considerably improves the performance in recognizing distant homologies compared to existing approaches such as PSIBLAST and FUGUE.  ...  Kenji Mizuguchi for providing us with the FUGUE program for our study, and the Astral team for making their data available.  ... 
doi:10.1186/1471-2105-6-282 pmid:16316461 pmcid:PMC1345692 fatcat:45i2lhcsvjaqhiadggrbyd3ihy

Scalable batch-correction method for integrating large-scale single-cell transcriptomes [article]

Xiangchun Li, Xilin Shen
2021 bioRxiv   pre-print
The source code is available at https://github.com/xilinshen/Fugue.  ...  Our benchmark comparisons with current state-of-the-art single-cell integration methods demonstrated that our method could achieve comparable data alignment and cluster preservation.  ...  The dataset is composed of 9,531 single-cells generated by 10x 3' protocol. For mixture cell lines, cells were clustered with Louvain algorithm based on Scanpy pipeline.  ... 
doi:10.1101/2021.12.12.472307 fatcat:tbl4xq7d7nfu3mpipvmai7rzyu

EVAcon: a protein contact prediction evaluation service

O. Grana, V. A. Eyrich, F. Pazos, B. Rost, A. Valencia
2005 Nucleic Acids Research  
The second one is composed of a query-based system that allows a flexible display of the results.  ...  The system is composed of three different modules: One of them provides a fast view of the results through static pages that are regenerated every week.  ...  This initial view is composed of static pages that are regenerated every week.  ... 
doi:10.1093/nar/gki411 pmid:15980486 pmcid:PMC1160172 fatcat:7ffnqv4izbdthdax6me66eq7oy

Multiple scaling behaviour and nonlinear traits in music scores

Alfredo González-Espinoza, Hernán Larralde, Gustavo Martínez-Mekler, Markus Müller
2017 Royal Society Open Science  
The amount and the character of nonlinear correlations vary from one composer to another.  ...  We present a statistical analysis of music scores from different composers using detrended fluctuation analysis (DFA).  ...  Markov models, neural networks and generative grammars have been proved to be successful in generating note sequences with musical meaning at short timescales [32] [33] [34] .  ... 
doi:10.1098/rsos.171282 pmid:29308256 pmcid:PMC5750023 fatcat:kuwxb4kqxjhkfmffuwtnexc4bi

Multiple scaling behavior and nonlinear traits in music scores [article]

Alfredo González-Espinoza, Hernán Larralde, Gustavo Martínez-Mekler, Markus Müller
2017 arXiv   pre-print
The amount and the character of nonlinear correlations vary from one composer to another.  ...  We present a statistical analysis of music scores from different composers using detrended fluctuation analysis.  ...  Markov models, neural networks and generative grammars have been proven to be successful in generating note sequences with musical meaning at short time scales [32] [33] [34] .  ... 
arXiv:1708.08982v5 fatcat:3iixvjel4bfrfmxufumsrvy34i

Generating Music using an LSTM Network [article]

Nikhil Kotecha, Paul Young
2018 arXiv   pre-print
Detailed in the paper is a neural network architecture that predicts and generates polyphonic music aligned with musical rules.  ...  When analyzed quantitatively and qualitatively, this approach performs well in composing polyphonic music. Link to the code is provided.  ...  The idea is to use the trained LSTM and tune the hyperparameters with a, for instance, Q learning algorithm [10] .  ... 
arXiv:1804.07300v1 fatcat:cob5sit2rvdx3o4no6yrdp7c4i

Ancient Pbx-Hox signatures define hundreds of vertebrate developmental enhancers

Hugo J Parker, Paul Piccinelli, Tatjana Sauka-Spengler, Marianne Bronner, Greg Elgar
2011 BMC Genomics  
In a broader context, our evolutionary analyses reveal that CNEs are composed of tightly linked transcription-factor binding-sites (TFBSs), which can be systematically identified through phylogenetic footprinting  ...  Acknowledgements We are indebted to Andrew McCallion and Koichi Kawakami for supplying us with the pGW_cfosEGFP construct, and Reinhard Koester for the r3r5 transgenic zebrafish line.  ...  Human, zebrafish and lamprey sequences are aligned with the fugu sequence as a baseline.  ... 
doi:10.1186/1471-2164-12-637 pmid:22208168 pmcid:PMC3261376 fatcat:tm5whuh52vfwblsaeatxe7wxhu
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