搜索结果: 1-9 共查到“知识库 理学 Machine Learning”相关记录9条 . 查询时间(0.139 秒)
APPLICATION OF MACHINE LEARNING IN URBAN GREENERY LAND COVER EXTRACTION
Neural Network Machine Learning Greenery Land Cover Auto Extraction Multispectral Image
2018/5/15
Urban greenery is a critical part of the modern city and the greenery coverage information is essential for land resource management, environmental monitoring and urban planning. It is a challenging w...
A minimax theorem with applications to machine learning, signal processing, and finance
convex optimization minimax theorem robust optimization
2015/8/10
This paper concerns a fractional function of the form x^Ta/sqrt{x^TBx}, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, and choosing (a,B)...
Niche Modeling Perspective on Geographic Range Predictions in the Marine Environment Using a Machine-learning Algorithm
Geographic Range Predictions Machine-learning Algorithm
2015/7/31
Biological communities are changing drastically in response to global climate change (Walther et al., 2002), changes in use by human populations (Krishtalka et al., 2002), and introduction of exotic s...
Using Machine Learning for Discovery in Synoptic Survey Imaging
Machine Learning Discovery Synoptic Survey Imaging
2012/11/23
Modern time-domain surveys continuously monitor large swaths of the sky to look for astronomical variability. Astrophysical discovery in such data sets is complicated by the fact that detections of re...
Fast supersymmetry phenomenology at the Large Hadron Collider using machine learning techniques
Hadron Collider using machine Fast supersymmetry phenomenology
2011/9/15
A pressing problem for supersymmetry (SUSY) phenomenologists is how to incorporate Large Hadron Collider search results into parameter fits designed to measure or constrain the SUSY parameters. Owing ...
DNA Sequencing via Quantum Mechanics and Machine Learning
DNA Sequencing Quantum Mechanics Machine Learning
2011/1/5
Rapid sequencing of individual human genome is prerequisite to genomic medicine, where diseases will be prevented by preemptive cures. Quantum-mechanical tunneling through single-stranded DNA in a sol...
Prediction of stellar atmospheric parameters from spectra, spectral indices and spectral lines using machine learning
stellar atmospheric parameters spectra spectral lines
2009/6/8
Prediction of stellar atmospheric parameters from spectra, spectral indices and spectral lines using machine learning。
Risk assessment of atmospheric emissions using machine learning
Risk assessment atmospheric emissions machine learning
2009/12/30
Supervised and unsupervised machine learning algorithms are used to perform statistical and logical analysis of several transport and dispersion model runs which simulate emissions from a fixed source...
Risk assessment of atmospheric emissions using machine learning
Risk assessment atmospheric emissions machine learning
2010/1/4
Supervised and unsupervised machine learning algorithms are used to perform statistical and logical analysis of several transport and dispersion model runs which simulate emissions from a fixed source...
