搜索结果: 1-12 共查到“统计学其他学科 prediction”相关记录12条 . 查询时间(0.304 秒)
The student's dilemma: ranking and improving prediction at test time without access to training data
The student's dilemma ranking improving prediction test time without access training data
2013/4/27
The standard approach to rank the performance of several classifiers for a given classification problem is via an independent labeled validation dataset. However, in various applications only unlabele...
Risk Prediction of a Multiple Sclerosis Diagnosis
Risk Prediction a Multiple Sclerosis Diagnosis
2013/4/27
Multiple sclerosis (MS) is a chronic autoimmune disease that affects the central nervous system. The progression and severity of MS varies by individual, but it is generally a disabling disease. Altho...
Performance Tuning Of J48 Algorithm For Prediction Of Soil Fertility
performance tuning prediction agriculture soil testing data mining classification.
2012/9/18
Data mining involves the systematic analysis of large data sets , and data mining in agricultural soil datasets is exciting and modern research area. The productive capacity of...
Structured prediction tasks pose a fundamental trade-o between the need for model com-plexity to increase predictive power and the limited computational resources for inference in the exponentially-s...
On the prediction of functional time series
Dimension reduction Forecasting, Functional autoregressions Functional principal components, Functional time series Particulate matter Vector autoregressions
2012/9/17
This paper addresses the prediction of functional time series. Existing contributions to this problem have largely focused on the special case of rst-order functional autoregressive processes because...
Prediction and Computer Model Calibration Using Outputs From Multi-fidelity Simulators
Computer Experiment Gaussian process Markov Chain Monte Carlo.
2012/9/17
Computer codes are widely used to describe physical processes in lieu of physical observations.In some cases, more than one computer simulator, each with di erent degrees of delity, can be used to ex...
PAC-Bayesian Estimation and Prediction in Sparse Additive Models
Additive models sparsity regression estimation PAC-Bayesian bounds oracle inequality MCMC stochastic search.
2012/9/17
The present paper is about estimation and prediction in high-dimensional additive models under a sparsity assumption (p nparadigm).A PAC-Bayesian strategy is investigated, delivering oracle inequaliti...
A statistical view on team handball results: home advantage, team fitness and prediction of match outcomes
Time series analysis of sports results statistics interdisciplinary applications of physics
2012/9/18
We analyze the results of the German Team Handball Bundesliga for ten seasons in a model-free statistical time series approach. We will show that the home advantage is nearly negligible compared to th...
Comparison of SCIPUFF Plume Prediction with Particle Filter Assimilated Prediction for Dipole Pride 26 Data
Data Assimilation Particle Filter
2011/7/19
This paper presents the application of a particle filter for data assimilation in the context of puff-based dispersion models. Particle filters provide estimates of the higher moments, and are well su...
We study the problem of sequential prediction of categorical data and discuss a generalisation of Blackwell's algorithm on 0-1 data. The arguments are based on Blackwell's approachability results give...
Error Prediction and Model Selection via Unbalanced Expander Graphs
Error Prediction Model Selection Unbalanced Expander Graphs
2010/10/19
We investigate deterministic design matrices for the fundamental problems of error prediction and model selection. Our deterministic design matrices are constructed from unbalanced expander graphs, a...
Weighted least squares methods for prediction in the functional data linear model
Cross-validation eigenfunction eigenvector functional data analysis mean squared error orthogonal series rate of convergence
2009/9/16
The problem of prediction in functional linear regression is conventionally addressed by reducing dimension via the standard principal component basis. In this paper we show that weighted least-square...