搜索结果: 1-13 共查到“理学 boosting”相关记录13条 . 查询时间(0.09 秒)
Triple play boosting value of renewable fuel could tip market in favor of biomass
Triple play boosting value renewable fuel tip market favor of biomass
2017/7/20
Technologies for converting non-edible biomass into chemicals and fuels traditionally made from petroleum exist aplenty. But when it comes to attracting commercial interest, these technologies compete...
Boosting as a Regularized Path to a Maximum Margin Classifier
boosting regularized optimization support vector machines margin maximization
2015/8/21
In this paper we study boosting methods from a new perspective. We build on recent work by Efron et al. to show that boosting approximately (and in some cases exactly) minimizes its loss criterion wit...
We congratulate the authors for their interesting papers on boosting and related topics. Jiangdeals with the asymptotic consistency of Adaboost. Lugosi and Vayatis study the convex optimization of los...
NEW MULTICATEGORY BOOSTING ALGORITHMS BASED ON MULTICATEGORY FISHER-CONSISTENT LOSSES
MULTICATEGORY BOOSTING ALGORITHMS MULTICATEGORY FISHER-CONSISTENT LOSSES
2015/8/21
Fisher-consistent loss functions play a fundamental role in the construction of successful binary margin-based classifiers. In this paper we establish the Fisher-consistency condition for multicategor...
Boosting search by rare events
Random search algorithm combination nonequilibrium random random algorithm
2015/8/21
Randomized search algorithms for hard combinatorial problems exhibit a large variability of per- formances. We study the different types of rare events which occur in such out-of-equilibrium stochasti...
Response to Mease and Wyner,Evidence Contrary to the Statistical View of Boosting
Mease and Wyner Evidence Contrary Statistical View
2015/8/21
This is an interesting and thought-provoking paper. We especially appreciate the fact that the authors have supplied R code for their examples, as this allows the reader to understand and assess their...
BOOSTING ALGORITHMS:REGULARIZATION,PREDICTION AND MODEL FITTING
Generalized linear models Generalized additive models Gradient boosting Survival analysis Variable selection Software
2015/8/21
We present a statistical perspective on boosting. Special emphasis is given to estimating potentially complex parametric or nonparametric models, including generalized linear and additive models as we...
Comment:Boosting Algorithms:Regularization,Prediction and Model Fitting
Boosting Algorithms Regularization Prediction Model Fitting
2015/8/21
We congratulate the authors (hereafter BH) for an interesting take on the boosting technology, and for developing a modular computational environment in R for exploring their models. Their use of low-...
A Bayesian Boosting Model
Bayesian Boosting Model
2012/11/22
We offer a novel view of AdaBoost in a statistical setting. We propose a Bayesian model for binary classification in which label noise is modeled hierarchically. Using variational inference to optimiz...
用自适应梯度Boosting算法研究了影响多硝基芳香族化合物（PNACs）密度的主因子。选择分子结构描述码作影响特征参数，采用影响多硝基芳香族化合物密度的分子结构描述码，依据相关影响程度给出了相应分子结构描述码，预测密度值与文献值的相对误差在10%以内。
A Bayesian Method for Detecting and Characterizing Allelic Heterogeneity and Boosting Signals in Genome-Wide Association Studies
Bayesian Method Detecting Characterizing Allelic Heterogeneity Boosting Signals Genome-Wide Association Studies
2010/11/16
The standard paradigm for the analysis of genome-wide association studies involves carrying out association tests at both typed and imputed SNPs. These methods will not be optimal for detecting the si...
专著信息
书名
Improved efficacy of DNA vaccination against breast cancer by boosting with the repeat beta-hCG C-terminal peptide carried by mycobacterial heat-shock protein HSP65.
语种
英文
撰写或编译
作者
Yi H,Rong Y...
用Boosting算法预测多硝基芳香族化合物的密度
物理化学 人工神经网络 Boosting算法 密度预估 多硝基芳香族化合物
2014/3/17
采用Boosting算法对多硝基芳香族化合物(PNACs)的密度进 行预估。选用分子结构描述码作为输入特征参数。结果表明，PNACs的密度与其分子结构存 在良好的相关性，与人工神经网络相比，Boosting算法对预测的准确性有显著提高，预测 结果的相对误差都在8%以内。