搜索结果: 1-15 共查到“Prediction”相关记录148条 . 查询时间(0.14 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Prediction When Factors are Weak
因素较弱 预测 宏观经济预测
2023/5/5
In macroeconomic forecasting, principal component analysis (PCA) has been the most prevalent approach to the recovery of factors, which summarize information in a large set of macro predictors. Nevert...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Calculation of high-order harmonic generation of atoms and molecules by combining time series prediction and neural networks
时间序列预测 神经网络计算 原子分子 高阶谐波生成
2023/5/9
High-order harmonic generation (HHG) from the interaction of ultra-intense laser pulses with atoms is an important tabletop short-wave coherent light source. Accurate quantum simulations of it present...
Prediction of the effectiveness of rolling dynamic compaction using artificial neural networks and cone penetration test data
soil mechanics rolling dynamic compaction artificial neural networks cone penetration test ground improvement
2018/12/25
Rolling Dynamic Compaction (RDC)，which is a ground improvement technique involving non-circular modules drawn behind a tractor，has provided the construction industry with an improved ground compaction...
CALIBRATED MULTI-TEMPORAL EDGE IMAGES FOR CITY INFRASTRUCTURE GROWTH ASSESSMENT AND PREDICTION
Urbanization Edge images Urban Land Use Infrastructure Growth Multi-Temporal Landsat
2018/4/18
Urban Growth or urbanization can be defined as the gradual process of city’s population growth and infrastructure development. It is typically demonstrated by the expansion of a city’s infrastructure,...
CALIBRATED MULTI-TEMPORAL EDGE IMAGES FOR CITY INFRASTRUCTURE GROWTH ASSESSMENT AND PREDICTION
Urbanization Edge images Urban Land Use Infrastructure Growth Multi-Temporal Landsat
2018/5/8
Urban Growth or urbanization can be defined as the gradual process of city’s population growth and infrastructure development. It is typically demonstrated by the expansion of a city’s infrastructure,...
A Data-Cleaning Tool for Building Better Prediction Models
Data-Cleaning Tool Prediction Models
2016/9/12
Big data sets are full of dirty data, and these outliers, typos and missing values can produce distorted models that lead to wrong conclusions and bad decisions, be it in health care or finance. With ...
广州暨南大学2016年硕士学位研究生入学考试美学原理真题ALIBRATED MULTI-TEMPORAL EDGE IMAGES FOR CITY INFRASTRUCTURE GROWTH ASSESSMENT AND PREDICTION
广州暨南大学 2016年 硕士学位 研究生 入学考试 美学原理 真题
2018/6/29
广州暨南大学2016年硕士学位研究生入学考试美学原理真题。
Unboxing the Concepts in Newcomb’s Paradox:Causation,Prediction,Decision in Causal Knowledge Patterns
evidential vs causal decision theory Newcomb’s paradox Bayes nets causal models interventionist account of causation
2016/6/15
In Nozick’s rendition of the decision situation given in Newcomb’s Paradox dominance and the principle of maximum expected utility recommend different strategies. While evidential decision theory (EDT...
Prediction Games
signaling game theory prediction
2016/6/12
We consider an extension of signaling games to the case of prediction, where one agent (‘sender’) perceives the current state of the world and sends a signal. The second agent (‘receiver’) perceives t...
Prediction and typicality in multiverse cosmology
Typicality anthropic principle multiverse cosmology dark matter
2016/6/12
In the absence of a fundamental theory that precisely predicts values for observable parameters, anthropic reasoning attempts to constrain probability distributions over those parameters in order to f...
Integrative approaches for microRNA target prediction: combining sequence information and the paired mRNA and miRNA expression profiles
target prediction expression profile integrative analysis
2016/1/20
Gene regulation is a key factor in gaining a full understanding of molecular biology. microRNA (miRNA), a novel class of non-coding RNA, has recently been found to be one crucial class of post-transac...
《The Elements of Statistical Learning: Data Mining, Inference, and Prediction》 (Second Edition)（图）
Data Mining Inference Prediction
2015/8/21
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and mark...
Boosted Varying-Coefficient Regression Models for Product Demand Prediction
Boosting gradient descent tree-based regression varying-coefficient model
2015/8/21
Estimating the aggregated market demand for a product in a dynamic market is critical to manufacturers and retailers. Motivated by the need for a statistical demand prediction model for laptop pricing...
Cluster Validation by Prediction Strength
Number of clusters Prediction Unsupervised learning
2015/8/20
This article proposes a new quantity for assessing the number of groups or clusters in
a dataset. The key idea is to view clustering as a supervised classification problem, in which
we must al...
Antiallergic Activity of Substituted Benzamides:Characterization,Estimation and Prediction
Molecular Descriptors Family on Structure-Activity Relationships (MDF-SAR) Substituted N 4-methoxyphenyl benzamides Antiallergic activity Multiple linear regression (MLR)
2015/7/29
Antiallergic activity of twenty-three substituted N 4-methoxyphenyl benzamides was model by the use of an original methodology. After sketching out the compounds structure and creating the file with t...