Results 281 to 290 of about 8,013,557 (321)
Dimensionality Reduction in Lingual Articulation of Vowels: Evidence From Lax Vowels in Northern Anglo-English. [PDF]
Lang SpeechStrycharczuk P +3 more
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Comparison of dimensionality reduction methods on hyperspectral images for the identification of heathlands and mires. [PDF]
Sci RepJarocińska A, Kopeć D, Kycko M.
europepmc +1 more source
Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting. [PDF]
Sci RepBae HJ, Park JS, Choi JH, Kwon HY.
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Encyclopedia of Machine Learning and Data Mining, 2020
Many problem classes in machine learning are inherently high dimensional. Natural language processing problems, for instance, often involve the extraction of meaning from words, which can appear in an intractably large number of potential sequences in ...
Michail Vlachos
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Many problem classes in machine learning are inherently high dimensional. Natural language processing problems, for instance, often involve the extraction of meaning from words, which can appear in an intractably large number of potential sequences in ...
Michail Vlachos
openaire +2 more sources
A Review of Principal Component Analysis Algorithm for Dimensionality Reduction
, 2021Big databases are increasingly widespread and are therefore hard to understand, in exploratory biomedicine science, big data in health research is highly exciting because data-based analyses can travel quicker than hypothesis-based research.
Basna Mohammed Salih Hasan +1 more
semanticscholar +1 more source
2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021
In today’s world diabetes has become one of the most life threatening and at the same time most common diseases not only in India but around the world.
S. Sivaranjani +3 more
semanticscholar +1 more source
In today’s world diabetes has become one of the most life threatening and at the same time most common diseases not only in India but around the world.
S. Sivaranjani +3 more
semanticscholar +1 more source
2019
Dimensionality reduction is a hot research topic in data analysis today. Thanks to the advances in high-performance computing technologies and in the engineering eld, we entered in the so-called big-data era and an enormous quantity of data is available in every scientificc area, ranging from social networking, economy and politics to e-health and life
Shuyang Wang, Zhangyang Wang, Yun Fu
+6 more sources
Dimensionality reduction is a hot research topic in data analysis today. Thanks to the advances in high-performance computing technologies and in the engineering eld, we entered in the so-called big-data era and an enormous quantity of data is available in every scientificc area, ranging from social networking, economy and politics to e-health and life
Shuyang Wang, Zhangyang Wang, Yun Fu
+6 more sources
Dimensionality reduction and generalization
Proceedings of the 24th international conference on Machine learning, 2007In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning problems. We show that performing KPCA and then ordinary least squares on the projected data, a procedure known as kernel principal component regression (KPCR), is equivalent ...
MOSCI, SOFIA +2 more
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