Objectives Diagnostic reasoning in systemic lupus erythematosus (SLE) is a complex process reflecting the probability of disease at a given timepoint against competing diagnoses. We applied machine ...
Edited by Thomas C. Südhof, Stanford University School of Medicine, Stanford, CA, and approved August 15, 2016 (received for review March 31, 2016) ...
Contributed by Zdeněk P. Bažant, October 27, 2017 (sent for review August 10, 2017; reviewed by Ross Corotis, George Deodatis, and Arash Yavari) ...
Computational Methods and Modeling for Engineering Applications (GENG 8030) is a foundational graduate course in the Master of Engineering (MEng) program at the University of Windsor. This course ...
How humans efficiently operate in a world with massive amounts of data that need to be processed, stored, and recalled has long been an unsettled question. Our physical and social environment needs to ...
1 Department of Psychology, York University, Toronto, Canada. 2 Department of Mathematics and Statistics, York University, Toronto, Canada. In many areas of applied statistics, confidence intervals ...
1 Department of Applied Mathematics and Statistics, University of California, Santa Cruz, CA, USA. 2 TRADOC Analysis Center, Naval Postgraduate School, Monterey, CA ...
Neural systems include interactions that occur across many scales. Two divergent methods for characterizing such interactions have drawn on the physical analysis of critical phenomena and the ...
The maximal information that the spike train of any neuron can pass on to subsequent neurons can be quantified as the neuronal firing pattern entropy. Difficulties associated with estimating entropy ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results