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632
VERY HIGH RESOLUTION INTERPOLATED CLIMATE SURFACES FOR GLOBAL LAND AREAS
, 2005
"... We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution). The climate elements considered were monthly precipitation and mean, minimum, and maximum temperature. Input data were gathered ..."
Abstract
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Cited by 553 (8 self)
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arising from the input data and the interpolation by mapping weather station density, elevation bias in the weather stations, and elevation variation within grid cells and through data partitioning and cross validation. Elevation bias tended to be negative (stations lower than expected) at high latitudes
An Improved In Situ and Satellite SST Analysis for Climate
- J Clim 15:1609–1625. doi
, 2002
"... A weekly 18 spatial resolution optimum interpolation (OI) sea surface temperature (SST) analysis has been produced at the National Oceanic and Atmospheric Administration (NOAA) using both in situ and satellite data from November 1981 to the present. The weekly product has been available since 1993 a ..."
Abstract
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Cited by 391 (12 self)
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and is widely used for weather and climate monitoring and forecasting. Errors in the satellite bias correction and the sea ice to SST conversion algorithm are discussed, and then an improved version of the OI analysis is developed. The changes result in a modest reduction in the satellite bias that leaves small
A New Method For The Determination Of Flow Directions And Upslope Areas In Grid Digital Elevation Models
- Water Resources Research
, 1997
"... A new procedure for the representation of flow directions and calculation of upslope areas using rectangular grid digital elevation models is presented. The procedure is based on representing flow direction as a single angle taken as the steepest downwards slope on the eight triangular facets center ..."
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Cited by 159 (2 self)
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directions (introducing grid bias) or proportioned flow according to slope (introducing unrealistic dispersion). The new procedure is more robust than prior procedures based on fitting local planes while retaining a simple grid based structure. Detailed algorithms are presented and results are demonstrated
Improvements to NOAA’s historical merged land–ocean surface temperature analysis (1880–2006
- J. Climate
, 2008
"... Observations of sea surface and land–near-surface merged temperature anomalies are used to monitor climate variations and to evaluate climate simulations; therefore, it is important to make analyses of these data as accurate as possible. Analysis uncertainty occurs because of data errors and incompl ..."
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Cited by 163 (1 self)
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and incomplete sampling over the historical period. This manuscript documents recent improvements in NOAA’s merged global surface temperature anomaly analysis, monthly, in spatial 5 ° grid boxes. These improvements allow better analysis of temperatures throughout the record, with the greatest improvements
A grid-based bader analysis algorithm without lattice bias
- Journal of Physics: Condensed Matter
"... A computational method for partitioning a charge density grid into Bader volumes is presented which is efficient, robust, and scales linearly with the number of grid points. The partitioning algorithm follows the steepest ascent paths along the charge density gradient from grid point to grid point u ..."
Abstract
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Cited by 28 (3 self)
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A computational method for partitioning a charge density grid into Bader volumes is presented which is efficient, robust, and scales linearly with the number of grid points. The partitioning algorithm follows the steepest ascent paths along the charge density gradient from grid point to grid point
Winners don't take all: Characterizing the competition for links on the web
- Proceedings of the National Academy of Sciences
, 2002
"... As a whole, the World Wide Web displays a striking ``rich get richer'' behavior, with a relatively small number of sites receiving a disproportionately large share of hyperlink references and traffic. However, hidden in this skewed global distribution, we discover a qualitatively different ..."
Abstract
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Cited by 154 (7 self)
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different and considerably less biased link distribution among subcategories of pages---for example, among all university homepages or all newspaper homepages. While the connectivity distribution over the entire web is close to a pure power law, we find that the distribution within specific categories
A Dynamic Biased Random Sampling Scheme for Scalable and Reliable Grid Networks
, 2008
"... Abstract. The growth in computer and networking technologies over the past decades produced new type of collaborative computing environment called Grid Network. Grid is a parallel and distributed computing network system that possesses the ability to achieve a higher throughput computing by taking a ..."
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Cited by 5 (0 self)
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for Grid networks using biased random sampling. The generated network system is self-organized and depends only on local information for load distribution and resource discovery. We demonstrate that introducing a geographic awareness factor in the random walk sampling can reduce the effects
Learning Context-Free Grammars with a Simplicity Bias
- Proceedings of the Eleventh European Conference on Machine Learning
, 2000
"... . We examine the role of simplicity in directing the induction of context-free grammars from sample sentences. We present a rational reconstruction of Wolff's SNPR -- the Grids system -- which incorporates a bias toward grammars that minimize description length. The algorithm alternates bet ..."
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Cited by 46 (4 self)
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. We examine the role of simplicity in directing the induction of context-free grammars from sample sentences. We present a rational reconstruction of Wolff's SNPR -- the Grids system -- which incorporates a bias toward grammars that minimize description length. The algorithm alternates
Conservative bias in classification accuracy assessment due to pixel-by-pixel comparison of classified images with reference grids
- International Journal oj Remote Sensing
, 1995
"... classified images with reference grids ..."
Average Reward Reinforcement Learning: Foundations, Algorithms, and Empirical Results
, 1996
"... This paper presents a detailed study of average reward reinforcement learning, an undiscounted optimality framework that is more appropriate for cyclical tasks than the much better studied discounted framework. A wide spectrum of average reward algorithms are described, ranging from synchronous dyna ..."
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Cited by 130 (13 self)
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-optimal policies that maximize average reward, none of them can reliably filter these to produce bias-optimal (or T-optimal) policies that also maximize the finite reward to absorbing goal states. This paper also presents a detailed empirical study of R-learning, an average reward reinforcement learning method
Results 1 - 10
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632
