Sentence examples for statistics learned from inspiring English sources

Fishkind, a lifelong baseball fan who is an associate research professor in the Department of Applied Mathematics and Statistics, learned about the challenges involved in minor league scheduling when he attended a seminar presented by Tony Dahbura, interim director of the university's Information Security Institute.

We have presented a Weibull method of saliency prediction based on the local image statistics learned at fixated and non-fixated locations.

In contrast, we do not make any assumption about patterns in the spatial structure of feature responses and base our model on comparison of local image statistics with statistics learned from fixation and non-fixation regions.

These findings may be useful in supporting the idea that online peer learning does facilitate statistics learning among matriculation students.

In this paper, support vector machine approach was proposed to overcome these limitations based on statistics learning theory, and a new fault diagnosis system is developed.

While at Bell Labs, he also served for eight years as vice president of the Mathematical and Algorithmic Sciences Research Center, where he directed activities in fundamental mathematics, algorithms, complex systems analysis and optimization, statistics, learning theory, information and communications sciences, and industrial mathematics.

The rigorous Statistics learning and Bayesian training paved my way to become a statistician.

This will be further illustrated through application to the problems arising in statistics learning and image restoration.

We explore three questions in the domain of statistics learning: what is understanding, how can it be assessed, and how can we design instruction that will produce more understanding in our students?

SVM is based on the structural risk minimization principle of statistics learning theory and SVMs are a set of related supervised learning methods used for classification and regression [ 35].

In this work, we integrated primary sequence features and GO features by using MRMR criterion and then adopted statistics learning method to predict O-GlcNAc/Phos cross talk sites.