Results 41 to 50 of about 2,910,377 (176)

Crime prediction through urban metrics and statistical learning

, 2018
Understanding the causes of crime is a longstanding issue in researcher's agenda. While it is a hard task to extract causality from data, several linear models have been proposed to predict crime through the existing correlations between crime and urban ...
Alves, Luiz G A, Ribeiro, Haroldo V, Rodrigues, Francisco A   +2 more
core   +1 more source

Stacking Ensemble Learning for Genomic Prediction Under Complex Genetic Architectures

Agronomy
Genomic selection (GS) estimates the GEBV from genome-wide markers to reduce generation intervals and optimize germplasm selection, which is particularly advantageous for high-cost or late-expressed traits.
Maurício de Oliveira Celeri, Moyses Nascimento, Ana Carolina Campana Nascimento, Filipe Ribeiro Formiga Teixeira, Camila Ferreira Azevedo, Cosme Damião Cruz, Laís Mayara Azevedo Barroso   +6 more
doaj   +1 more source

Statistical Mechanics of Dictionary Learning

, 2013
Finding a basis matrix (dictionary) by which objective signals are represented sparsely is of major relevance in various scientific and technological fields. We consider a problem to learn a dictionary from a set of training signals. We employ techniques
Ayaka Sakata, de Almeida J. R. L., Dotzenko V., Engan K., Kabashima Y., Krzakala F., Mézard M., Nyquist H., Obuchi T., Sakata A. Kabashima Y., Vainsencher D., Yoshiyuki Kabashima   +11 more
core   +1 more source

Statistical Learning in Wasserstein Space [PDF]

, 2020
We seek a generalization of regression and principle component analysis (PCA) in a metric space where data points are distributions metrized by the Wasserstein metric. We recast these analyses as multimarginal optimal transport problems.
Georgiou, TT, Karimi, A, Ripani, L
core   +1 more source

Assessment of bowel cleansing quality in colon capsule endoscopy using machine learning: a pilot study

Endoscopy International Open, 2018
Background and study aims The aim of this study was to develop a machine learning-based model to classify bowel cleansing quality and to test this model in comparison to a pixel analysis model and assessments by four colon capsule endoscopy (CCE) readers.
Maria Magdalena Buijs, Mohammed Hossain Ramezani, Jürgen Herp, Rasmus Kroijer, Morten Kobaek-Larsen, Gunnar Baatrup, Esmaeil S. Nadimi   +6 more
doaj   +1 more source

Statistical learning of movement [PDF]

Journal of Vision, 2016
The environment is dynamic, but objects move in predictable and characteristic ways, whether they are a dancer in motion, or a bee buzzing around in flight. Sequences of movement are comprised of simpler motion trajectory elements chained together. But how do we know where one trajectory element ends and another begins, much like we parse words from ...
Joan Danielle Khonghun, Ongchoco, Stefan, Uddenberg, Marvin M, Chun   +2 more
openaire   +2 more sources

Transforming Graph Representations for Statistical Relational Learning [PDF]

, 2012
Relational data representations have become an increasingly important topic due to the recent proliferation of network datasets (e.g., social, biological, information networks) and a corresponding increase in the application of statistical relational ...
Aha, David W., McDowell, Luke K., Neville, Jennifer, Rossi, Ryan A.   +3 more
core  

Atomic-scale representation and statistical learning of tensorial properties

, 2019
This chapter discusses the importance of incorporating three-dimensional symmetries in the context of statistical learning models geared towards the interpolation of the tensorial properties of atomic-scale structures.
Alred J. M., Bartók A. P., Bartók A. P., Bartók A. P., Behler J., Bereau T., Bereau T., Braams B. J., Brockherde F., Calderon C. E., Ceriotti M., Chandrasekaran A., Christensen A. S., De S., Glielmo A., Glielmo A., Grisafi A., Grisafi A., Hättig C., Jain A., Kaufmann K., Kondor R., Li Z., Liang C., Musil F., Shapeev A., Stone A. J., Ward L., Weinert U., Wilkins D. M., Willatt M. J., Willatt M. J., Williams C. K. I., Yuan Y., Zhang L.   +34 more
core   +1 more source

Impact of environmental covariates summarization on predictive ability in genomic selection

The Plant Genome
Integrating genomic and environmental information holds the potential for enhancing the predictive power of genomic prediction models when accounting for the genotype‐by‐environment interactions.
Vitor Seiti Sagae, Moysés Nascimento, Ana Carolina Campana Nascimento, Felipe Lopes da Silva, Diego Jarquin   +4 more
doaj   +1 more source

Image masks of global ship tracks for NASA MODIS data products

Scientific Data
Ship tracks, long thin artificial cloud features formed from the pollutants in ship exhaust, are satellite-observable examples of aerosol-cloud interactions (ACI) that can lead to increased cloud albedo and thus increased solar reflectivity, phenomena of
Pierce Warburton, Kurtis Shuler, Jake P. Zenker, Lekha Patel   +3 more
doaj   +1 more source