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Št. zadetkov: 27
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Oznake: computer science;machine learning
Over the past few decades, the field of Machine Learning has matured significantly, drawing ideas from several disciplines including Statistics, Optimization, and Artificial Intelligence. Applications of Machine Learning have led to important advances in a wide variety of domains ranging from Intern ...
Leto: 2011 Vir: videolectures.net
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Oznake: computer science
Leto: 2011 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;data mining;statistical & consensus methods
This paper takes an empirical approach to identify operational factors at busy airports that may predate go-around maneuvers. Using four years of data from San Francisco International Airport, we begin our investigation with an analysis of sequence of landing aircraft that may increase the probabili ...
Leto: 2011 Vir: videolectures.net
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Oznake: computer science;machine learning
Current methods of drought assessment utilize drought indices, such as the standardized precipitation index and Palmer drought severity index, that rely on subjective thresholds and hence cannot be universally applied across different climatic regions. In addition, most of the existing drought indic ...
Leto: 2011 Vir: videolectures.net
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Oznake: computer science;data mining;statistical & consensus methods
Atmospheric Infrared Sounder (AIRS), a sensor aboard NASA’s Aqua satellite, has been collect- ing temperatures, water vapor mass-mixing ratios, cloud fractions at various atmosphere pressure levels, and other atmospheric observations. AIRS level 2 data has a 45 km ground footprint with global covera ...
Leto: 2011 Vir: videolectures.net
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Oznake: technology;engineering
We present a stochastic model of a sensor-based degradation signal for predicting, in real time, the residual lifetime of individual components subjected to a time-varying environment. We consider future environmental profiles that evolve in a deterministic manner. Unique to our model is the unio ...
Leto: 2011 Vir: videolectures.net
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Oznake: computer science;environmental computation
Earth science data consists of a strong seasonality component as indicated by the cycles of repeated patterns in climate variables such as air pressure, temperature and precipitation. The seasonality forms the strongest signals in this data and in order to nd other patterns, the seasonality is remo ...
Leto: 2011 Vir: videolectures.net
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Oznake: computer science;data mining;statistical & consensus methods
Statistical downscaling is commonly used in climate modeling to obtain high-resolution spatial projections of future climate scenarios from the coarse-resolution outputs projected by global climate models. Unfortunately, most of the statistical downscaling approaches using standard regression method ...
Leto: 2011 Vir: videolectures.net
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Oznake: computer science;data mining;applications
The increase in demand for air traffic over the past several years has been accompanied by increased delays in the National Airspace System (NAS). The main causes of these delays have been weather and traffic volume, especially near airports. In this talk, I will use examples drawn from airport surf ...
Leto: 2011 Vir: videolectures.net
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Oznake: computer science;machine learning;regression
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. Gaussian Process regression is a popular technique for modeling the input-output relations of a set of variables under the assumption that the weight ve ...
Leto: 2011 Vir: videolectures.net
Št. zadetkov: 27
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