نتایج جستجو برای: avo attributes cross plots

تعداد نتایج: 582009  

Journal: :Nature Methods 2015

2015
Michael Gottlieb

Integrating neuroscientific data across labs is a challenging endeavour, and extracting meaning from this data is even harder still. NeuroElectro.org collects electrophysiology, neuron type, and experimental conditions data from published articles and provides all of this data in text format for analysis. Here, we present NeuroElectro Data’s Visualization (NED Vis), an interactive visual interf...

2014
A. S. Antonarakis J. W. Munger P. R. Moorcroft

The composition and structure of vegetation are key attributes of ecosystems, affecting their current and future carbon, water, and energy fluxes. Information on these attributes has traditionally come from ground-based inventories of the plant canopy within small sample plots. Here we show how imaging spectrometry and waveform lidar can be used to provide spatially comprehensive estimates of f...

Journal: :J. Exp. Theor. Artif. Intell. 1994
Peter D. Turney

This paper presents a theory of error in cross-validation testing of algorithms for predicting real-valued attributes. The theory justifies the claim that predicting real-valued attributes requires balancing the conflicting demands of simplicity and accuracy. Furthermore , the theory indicates precisely how these conflicting demands must be balanced, in order to minimize cross-validation error....

2015
Manjeet Singh Rajneesh Kumar Ankit Sharma Bhupinder Singh S. K. Thind

The experiment was planned to investigate the tractor mounted N-sensor (Make Yara International) to predict nitrogen (N) for wheat crop under different nitrogen levels. It was observed that, for tractor mounted N-sensor, spectrometers can scan about 32% of total area of crop under consideration. An algorithm was developed using a linear relationship between sensor sufficiency index (SIsensor) a...

1998
Ron Kohavi Dan Sommerfield

Business users and analysts commonly use spreadsheets and 2D plots to analyze and understand their data. On-line Analytical Processing (OLAP) provides these users with added flexibility in pivoting data around different attributes and drilling up and down the multi-dimensional cube of aggregations. Machine learning researchers, however, have concentrated on hypothesis spaces that are foreign to...

Journal: :فیزیک زمین و فضا 0
علی هاشمی گازار عبدالرحیم جواهریان

seismic coherency is a measure of lateral changes in acoustic impedance that are caused by variations in structure, stratigraphy, lithology, porosity, and fluid content. seismic coherency is a geometrical attribute that establishes temporal and lateral relationships with other attributes. seismic coherency can be defined by coherency attributes. when coherency attributes are applied to seismic ...

2012
Alan Bullimore Toby Batten Simon Hewings Karl Juergen Fischer von Weikersthal-Drachenberg Murray Skinner

INTRODUCTION : Broad-spectrum grass pollen immunotherapies contain large numbers of allergenic proteins from multiple species. The principle of homologous grouping is used as a tool to assist in the standardization of allergen immunotherapy. This study reviews the principle of homologous grouping, questions what an exemplar grass should be, and queries whether a 1-way system of inferring homolo...

2000
Stuart Rose Pak Chung Wong

We present a visualization technique that allows a user to identify and detect patterns and structures within a multivariate data set. Our research builds on previous efforts to represent multivariate data in a two-dimensional information display through the use of icon plots. Although the icon plot work done by Pickett and Grinstein is similar to our approach, we improve on their efforts in se...

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