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A Bayesian Approach to Estimating Seemingly Unrelated Regression for Tree Biomass Model Systems
Bayesian approaches seemingly unrelated regression Korean larch Markov chain Monte Carlo Gibbs sampler
2024/1/19
Accurate estimation of tree biomass is required for accounting for and monitoring forest carbon stocking. Allometric biomass equations constructed by classical statistical methods are widely used to p...
Fractional Vegetation Cover Estimation Algorithm for FY-3B Reflectance Data Based on Random Forest Regression Method
fractional vegetation cover FY-3B reflectance data random forest regression method
2023/12/8
As an important land surface vegetation parameter, fractional vegetation cover (FVC) has been widely used in many Earth system ecological and climate models. In particular, high-quality and reliable F...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Probabilistic HIV Recency Classification -- A Logistic Regression without Labeled Individual Level Training Data
概率 HIV新近度分类 个人水平训练数据 逻辑回归
2023/4/24
Accurate HIV incidence estimation based on individual recent infection status (recent vs long-term infection) is important for monitoring the epidemic, targeting interventions to those at greatest ris...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Sequential implementation of reconstruction regression
重建回归 顺序实现 空间填充设计
2023/4/26
We propose a sequential method for implementing reconstruction regression. With a space-filling design of a small sample size, we use GP interpolation-based reconstruction regression to build initial ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Shape-on-Scalar Regression Models: Going Beyond Prealigned Non-Euclidean Responses
标量 形状回归模型 超越预先对齐 非欧几里得
2023/5/5
The problem of using covariates to predict shapes of objects in a regression setting is important in many fields. A formal statistical approach, termed geodesic regression model, is commonly used for ...
Efficient Secure Ridge Regression from Randomized Gaussian Elimination
multiparty computation privacy-preserving machine learning secure ridge regression
2019/7/8
In this paper we present a practical protocol for secure ridge regression. We develop the necessary secure linear algebra tools, using only basic arithmetic over prime fields. In particular, we will s...
Homomorphic Training of 30,000 Logistic Regression Models
Approximate numbers Homomorphic encryption GWAS
2019/4/28
In this work, we demonstrate the use the CKKS homomorphic encryption scheme to train a large number of logistic regression models simultaneously, as needed to run a genome-wide association study (GWAS...
Triggerflow: Regression Testing by Advanced Execution Path Inspection
software testing regression testing continuous integration
2019/4/11
Cryptographic libraries often feature multiple implementations of primitives to meet both the security needs of handling private information and the performance requirements of modern services when th...
Semi-parallel Logistic Regression for GWAS on Encrypted Data
Homomorphic encryption Genome-wide association studies Logistic regression
2019/3/21
The sharing of biomedical data is crucial to enable scientific discoveries across institutions and improve health care. For example, genome-wide association studies (GWAS) based on a large number of s...
Privacy-preserving semi-parallel logistic regression training with Fully Homomorphic Encryption
fully homomorphic encryption logistic regression genome privacy
2019/2/27
Background Privacy-preserving computations on genomic data, and more generally on medical data, is a critical path technology for innovative, life-saving research to positively and equally impact the ...
Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models
body weight genetic parameters growth curves
2018/11/23
We aimed to evaluate different orders of fixed and random effects in random regression models (RRM) based on Legendre orthogonal polynomials as well as to verify the feasibility of these models to des...
FUSION OF HYPERSPECTRAL AND MULTISPECTRAL IMAGERY WITH REGRESSION KRIGING AND THE LULU OPERATORS; A COMPARISON
Image fusion Regression Kriging LULU operators Classification, Slums
2019/2/28
In this digital world, there is a large requirement of high resolution satellite image. Images at a low resolution may contain relevant information that has to be integrated with the high resolution i...
Faster PCA and Linear Regression through Hypercubes in HElib
Leveled homomorphic encryption PCA Linear Regression
2018/9/6
The significant advancements in the field of homomorphic encryption have led to a grown interest in securely outsourcing data and computation for privacy critical applications. In this paper, we focus...
Efficient Logistic Regression on Large Encrypted Data
implementation machine learning homomorphic encryption
2018/7/10
Machine learning on encrypted data is a cryptographic method for analyzing private and/or sensitive data while keeping privacy. In the training phase, it takes as input an encrypted training data and ...
Logistic regression over encrypted data from fully homomorphic encryption
homomorphic encryption logistic regression
2018/5/22
More precisely, given a list of approximately 15001500 patient records, each with 1818 binary features containing information on specific mutations, the idea was for the data holder to encrypt the rec...