搜索结果: 1-15 共查到“理学 Variable”相关记录250条 . 查询时间(0.147 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:VC-PINN: variable coefficient physics-informed neural network for forward and inverse problems of PDEs with variable coefficient
VC-PINN 变系数 偏微分方程 正逆问题 变系数物理 知情神经网络
2023/11/13
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:μ-basis for a tensor product rational surface with respect to one variable
张量积 有理曲面 变量 μ基
2023/4/28
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Variable selection for generalized linear models with interval-censored failure time data
区间删失 失效时间数据 广义线性模型 变量选择
2023/5/9
中山大学岭南学院高级计量经济学课件(II:Panel Data)CH4 Instrumental Variable Estimation and Dynamic Panel Data Model
中山大学岭南学院 高级计量经济学 课件(II:Panel Data) CH4 Instrumental Variable Estimation and Dynamic Panel Data Model
2017/6/14
中山大学岭南学院高级计量经济学课件(II:Panel Data)CH4 Instrumental Variable Estimation and Dynamic Panel Data Model。
中山大学岭南学院高级计量经济学课件(I)CH5 Instrumental Variable Estimation
中山大学岭南学院 高级计量经济学 课件(I) CH5 Instrumental Variable Estimation
2017/6/14
中山大学岭南学院高级计量经济学课件(I)CH5 Instrumental Variable Estimation。
Variable Incidence Angle Fluorescence Interference Contrast Microscopy for Z-Imaging Single Objects
Incidence Angle Fluorescence Microscopy Z-Imaging Single Objects
2016/5/24
Surface-generated structured illumination microscopies interrogate the position of fluorescently labeled objects near surfaces with nanometer resolution along the z axis. However, these techniques are...
Discovering and Orienting the Edges Connected to a Target Variable in a DAG via a Sequential Local Learning Approach
Causal network Directed acyclic graph Discover causes and effects
2016/1/20
Given a target variable and observational data, we propose a sequential learning approach for discovering direct cause and effect variables of the target under the causal network frame-work. In the ap...
A 3000-year record of surface-rupturing earthquakes at Günalan: variable fault-rupture lengths along the 1939 Erzincan earthquake-rupture segment of the North Anatolian Fault, Turk
paleoseismology North Anatolian Fault fault segment
2015/8/26
The North Anatolian Fault is a ca. 1200-km-long, right-lateral, strike-slip fault that forms the northern boundary of the Anatolian plate. A damaging sequence of earthquakes ruptured almost the entire...
Regularization and variable selection via the elastic net
Grouping effect LARS algorithm Lasso Penalization p>n problem Variable selection
2015/8/21
We propose the elastic net, a new regularization and variable selection method. Real world data and a simulation study show that the elastic net often outperforms the lasso, while enjoying a similar s...
Predicting runoff and phosphorus loads from variable source areas: A terrain-based spatial modeling approach
TOPMODEL Hydrological modelling terrain analysis surface water phosphorus
2015/8/11
Research has been conducted at Flaxley Agricultural Centre in South Australia to predict phosphorus loss in surface runoff from dairy pastures. Part of the research investigated if the topography base...
Spatial Variability of Groundwater Recharge - I. Is it really variable?
Spatial variability Groundwater recharge Sri Lanka
2015/8/6
The spatial variability of recharge is an important consideration in estimating recharge especially as all methods of estimating it are 'point' estimates and in most places recharge varies in space. T...
Optimal Decentralized Control of Linear Systems via Groebner Bases and Variable Elimination
Groebner Bases and Variable via
2015/6/19
e consider the problem of optimal decentralized controller synthesis. There are several classes of such problems for which effective algorithms are known, including the quadratically invariant cases. ...
Discussion of “Latent Variable Graphical Model Selection via Convex Optimization”
Latent Variable Graphical Model Selection Convex Optimization
2015/6/17
We wish to congratulate the authors for their innovative contribution, which is bound to inspire much further research. We find latent variable model selection to be a fantastic application of matrix ...
SLOPE – Adaptive Variable Selection via Convex Optimization
Sparse regression variable selection false discovery rate lasso sorted `1 penalized estimation (SLOPE)
2015/6/17
We introduce a new estimator for the vector of coefficients β in the linear model y = Xβ +z, where X has dimensions n × p with p possibly larger than n. SLOPE, short for Sorted L-One Penalized Estimat...
An Application of a Variable Window Discrete Scan Statistic in Molecular Biology
Amino acids Moving sums Product-type approximation Scan statistic
2015/3/18
In this article a variable window discrete scan statistic is introduced for a
conditional scan statistic. This statistic is used to test the null hypothesis that the
observations are randomly distri...