Authors: Przemyslaw Biecek
arXiv
Predictive modeling is invaded by elastic, yet complex methods such as neural networks or ensembles (model stacking, boosting or bagging). Such methods are usually described by a large number of param...
Authors: Hans Dembinski, Michael Schmelling, Roland Waldi
arXiv
Least-squares fits are an important tool in many data analysis applications. In this paper, we review theoretical results, which are relevant for their application to data from counting experiments. U...
Authors: Liane Gabora
arXiv
This paper outlines the implications of neural-level accounts of insight, and models of the conceptual interactions that underlie creativity, for a theory of cultural evolution. Since elements of huma...
Authors: Philipp Hunziker, Julian Wucherpfennig, Aya Kachi, Nils-Christian Bormann
arXiv
Very large spatio-temporal lattice data are becoming increasingly common across a variety of disciplines. However, estimating interdependence across space and time in large areal datasets remains chal...
Authors: Diego A. Martinez, Mehdi Jalalpour, David T. Efron, Scott R. Levin
arXiv
Measuring the effect of patient safety improvement efforts is needed to determine their value but is difficult due to the inherent complexities of hospital operations. In this paper, we show by case s...
Authors: Rodney Sparapani, Brent R. Logan, Robert E. McCulloch, Purushottam W. Laud
arXiv
Many time-to-event studies are complicated by the presence of competing risks. Such data are often analyzed using Cox models for the cause specific hazard function or Fine-Gray models for the subdistr...
Authors: Seth Nabarro, Tristan Fletcher, John Shawe-Taylor
arXiv
Accurately predicting when and where ambulance call-outs occur can reduce response times and ensure the patient receives urgent care sooner. Here we present a novel method for ambulance demand predict...
Authors: E. Kelly Buchanan, Ian Kinsella, Ding Zhou, Rong Zhu, Pengcheng Zhou, Felipe Gerhard, John Ferrante, Ying Ma, Sharon Kim, Mohammed Shaik, Yajie Liang, Rongwen Lu, Jacob Reimer, Paul Fahey, Taliah Muhammad, Graham Dempsey, Elizabeth Hillman, Na Ji, Andreas Tolias, Liam Paninski
arXiv
Calcium imaging has revolutionized systems neuroscience, providing the ability to image large neural populations with single-cell resolution. The resulting datasets are quite large, which has presente...
Authors: Yehezkel S. Resheff, Moni Shahar
arXiv
Transaction data obtained by Personal Financial Management (PFM) services from financial institutes such as banks and credit card companies contain a description string from which the merchant, and an...
Authors: Xiaoyue Niu, James L. Rosenberger
arXiv
Judging scholarly posters creates a challenge to assign the judges efficiently. If there are many posters and few reviews per judge, the commonly used Balanced Incomplete Block Design is not a feasibl...
Authors: Lei Lin
arXiv
Bike sharing is a vital component of a modern multi-modal transportation system. However, its implementation can lead to bike supply-demand imbalance due to fluctuating spatial and temporal demands. T...
Authors: Mark O'Sullivan, Emanuel Popovici, Andrea Bocchino, Conor O'Mahony, Geraldine Boylan, Andriy Temko
arXiv
Significant research has been conducted in recent years to design low-cost alternatives to the current EEG monitoring systems used in healthcare facilities. Testing such systems on a vulnerable popula...
Authors: J. Andrew Doyle, Alan C. Evans
arXiv
Random noise plays a beneficial role in cognitive processing and produces measurable improvement in simulations and biological agents' task performance. Stochastic facilitation, the phenomenon of addi...
Authors: Samuel Chiquita
arXiv
Neural circuits in the retina divide the incoming visual scene into more than a dozen distinct representations that are sent on to central brain areas, such as the lateral geniculate nucleus and the s...
Authors: Laurence Aitchison, Guillaume Hennequin, Mate Lengyel
arXiv
Neural responses in the cortex change over time both systematically, due to ongoing plasticity and learning, and seemingly randomly, due to various sources of noise and variability. Most previous work...