Striving for Simplicity: The All Convolutional Net
Most modern convolutional neural networks (CNNs) used for object recognition are built using the same principles: Alternating convolution and max-pooling layers followed by a sm...
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Most modern convolutional neural networks (CNNs) used for object recognition are built using the same principles: Alternating convolution and max-pooling layers followed by a sm...
Many practical applications require the reconstruction of a multivariate function from discrete, unstructured data. This book gives a self-contained, complete introduction into ...
Journal Article How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis Get access C. Fraley, C. Fraley Department of Statistics, University of Wash...
Until recently, it has been common practice for a phylogenetic analysis to use a single gene sequence from a single individual organism as a proxy for an entire species. With te...
If Thomas Kuhn (1962) is correct, a field of inquiry develops in stages. Some members of a field of inquiry recognize anomalies in the foundational beliefs and seek better expla...
Journal Article A predictive approach to the random effect model Get access SEYMOUR GEISSER SEYMOUR GEISSER School of Statistics, University of MinnesotaMinneapolis Search for o...
This book, first published in 2006, presents an introduction to the methodology of structural equation modeling, illustrates its use, and goes on to argue that it has revolution...
Journal Article An improved Bonferroni procedure for multiple tests of significance Get access R. J. SIMES R. J. SIMES Ludwig Institute for Cancer Research, University of Sydney...
Information theoretic approaches and model averaging are increasing in popularity, but this approach can be difficult to apply to the realistic, complex models that typify many ...
The 2dF Galaxy Redshift Survey (2dFGRS) is designed to measure redshifts for approximately 250 000 galaxies. This paper describes the survey design, the spectroscopic observatio...