[BOOK][B] Quantum machine learning: an applied approach
S Ganguly - 2021 - Springer
Quantum Machine Learning: An Applied Approach Page 1 Quantum Machine Learning: An
Applied Approach The Theory and Application of Quantum Machine Learning in Science and …
Applied Approach The Theory and Application of Quantum Machine Learning in Science and …
LOF weighted KNN regression ensemble and its application to a die manufacturing company
G Öngelen, T İnkaya - Sādhanā, 2023 - Springer
K-nearest neighbor (KNN) algorithm is a widely used machine learning technique for
prediction problems due its simplicity, flexibility and interpretability. When predicting the …
prediction problems due its simplicity, flexibility and interpretability. When predicting the …
Develo** and Evaluating a Classification Model for Construction Defect Control: A Text Mining and Ensemble Learning Approach
In the construction industry, customer satisfaction is of paramount importance, as it
significantly impacts company success and reputation. In Korea's competitive apartment …
significantly impacts company success and reputation. In Korea's competitive apartment …
[PDF][PDF] Research on water levels prediction for disaster management using machine learning models
NL Tin - 2018 - waseda.repo.nii.ac.jp
Nowadays, Flood hazards become the common natural disaster among the natural hazards
and the significant challenge for disaster management around the world because of …
and the significant challenge for disaster management around the world because of …
[PDF][PDF] Pengenalan Jenis Tanaman Mangga Berdasarkan Bentuk dan Tekstur Daun Menggunakan Kecerdasan Artifisial K-NearestNeighbor (KNN) dan Fusi Informasi
ADW Sumari, MR Syahbana… - Jurnal Teknologi Informasi …, 2021 - researchgate.net
Memilih tanaman Mangga yang sesuai dengan yang diinginkan menjadi sebuah tantangan
dihadapkan pada ragam tanaman marga Mangifera yang ada saat ini. Kesalahan pemilihan …
dihadapkan pada ragam tanaman marga Mangifera yang ada saat ini. Kesalahan pemilihan …
Double Ensemble kNN: Towards an Enhanced k-Nearest-Neighbors
D Roongta - Available at SSRN 4286996, 2022 - papers.ssrn.com
Predictive Analytics, a branch of Data Science, has seen a surge in interest, attributed to the
rise of Big Data and corporations' needs to identify consumer trends. Unsupervised Learning …
rise of Big Data and corporations' needs to identify consumer trends. Unsupervised Learning …
[PDF][PDF] LOF weighted KNN regression ensemble and its application to a die manufacturing company
G ONGELEN, T INKAYA - ias.ac.in
K-nearest neighbor (KNN) algorithm is a widely used machine learning technique for
prediction problems due its simplicity, flexibility and interpretability. When predicting the …
prediction problems due its simplicity, flexibility and interpretability. When predicting the …
Quantum Generalized Linear Models
Generalized linear models (GLM) are link function based statistical models. Many
supervised learning algorithms are extensions of GLMs and have link functions built into the …
supervised learning algorithms are extensions of GLMs and have link functions built into the …
Extensions of morse-smale regression with application to actuarial science
CM Farrelly - arxiv preprint arxiv:1708.05712, 2017 - arxiv.org
The problem of subgroups is ubiquitous in scientific research (ex. disease heterogeneity,
spatial distributions in ecology...), and piecewise regression is one way to deal with this …
spatial distributions in ecology...), and piecewise regression is one way to deal with this …
[PDF][PDF] Summary of Master's Thesis
TINN LIN - ams.giti.waseda.ac.jp
For centuries, human have been challenged by natural disasters and the challenges have
been greater today. Natural disasters have been increasing around the world because of the …
been greater today. Natural disasters have been increasing around the world because of the …