IEEE Trans Neural Netw Learn Syst - Two Efficient Twin ELM Methods With Prediction Interval.

Tópicos

{ estim(2440) model(1874) function(577) }
{ learn(2355) train(1041) set(1003) }
{ model(2341) predict(2261) use(1141) }
{ error(1145) method(1030) estim(1020) }
{ model(3404) distribut(989) bayesian(671) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2830) propos(1344) filter(1198) }
{ method(1219) similar(1157) match(930) }
{ case(1353) use(1143) diagnosi(1136) }
{ first(2504) two(1366) second(1323) }
{ activ(1138) subject(705) human(624) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ imag(2675) segment(2577) method(1081) }
{ take(945) account(800) differ(722) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ studi(1119) effect(1106) posit(819) }
{ patient(2315) diseas(1263) diabet(1191) }
{ featur(1941) imag(1645) propos(1176) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ use(976) code(926) identifi(902) }
{ network(2748) neural(1063) input(814) }
{ studi(2440) review(1878) systemat(933) }
{ method(1557) propos(1049) approach(1037) }
{ system(1050) medic(1026) inform(1018) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ gene(2352) biolog(1181) express(1162) }
{ time(1939) patient(1703) rate(768) }
{ can(981) present(881) function(850) }
{ health(1844) social(1437) communiti(874) }
{ cancer(2502) breast(956) screen(824) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ data(1737) use(1416) pattern(1282) }
{ inform(2794) health(2639) internet(1427) }
{ system(1976) rule(880) can(841) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ chang(1828) time(1643) increas(1301) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
{ general(901) number(790) one(736) }
{ method(984) reconstruct(947) comput(926) }
{ search(2224) databas(1162) retriev(909) }
{ howev(809) still(633) remain(590) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
{ research(1085) discuss(1038) issu(1018) }
{ import(1318) role(1303) understand(862) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ perform(1367) use(1326) method(1137) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ data(3008) multipl(1320) sourc(1022) }
{ intervent(3218) particip(2042) group(1664) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ analysi(2126) use(1163) compon(1037) }
{ result(1111) use(1088) new(759) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

In the operational optimization and scheduling problems of actual industrial processes, such as iron and steel, and microelectronics, the operational indices and process parameters usually need to be predicted. However, for some input and output variables of these prediction models, there may exist a lot of uncertainties coming from themselves, the measurement error, the rough representation, and so on. In such cases, constructing a prediction interval (PI) for the output of the corresponding prediction model is very necessary. In this paper, two twin extreme learning machine (TELM) models for constructing PIs are proposed. First, we propose a regularized asymmetric least squares extreme learning machine (RALS-ELM) method, in which different weights of its squared error loss function are set according to whether the error of the model output is positive or negative in order that the above error can be differentiated in the parameter learning process, and Tikhonov regularization is introduced to reduce overfitting. Then, we propose an asymmetric Bayesian extreme learning machine (AB-ELM) method based on the Bayesian framework with the asymmetric Gaussian distribution (AB-ELM), in which the weights of its likelihood function are determined as the same method in RALS-ELM, and the type II maximum likelihood algorithm is derived to learn the parameters of AB-ELM. Based on RALS-ELM and AB-ELM, we use a pair of weights following the reciprocal relationship to obtain two nonparallel regressors, including a lower-bound regressor and an upper-bound regressor, respectively, which can be used for calculating the PIs. Finally, some discussions are given, about how to adjust the weights adaptively to meet the desired PI, how to use the proposed TELMs for nonlinear quantile regression, and so on. Results of numerical comparison on data from one synthetic regression problem, three University of California Irvine benchmark regression problems, and two actual industrial regression problems show the effectiveness of the proposed models.

Resumo Limpo

oper optim schedul problem actual industri process iron steel microelectron oper indic process paramet usual need predict howev input output variabl predict model may exist lot uncertainti come measur error rough represent case construct predict interv pi output correspond predict model necessari paper two twin extrem learn machin telm model construct pis propos first propos regular asymmetr least squar extrem learn machin ralselm method differ weight squar error loss function set accord whether error model output posit negat order error can differenti paramet learn process tikhonov regular introduc reduc overfit propos asymmetr bayesian extrem learn machin abelm method base bayesian framework asymmetr gaussian distribut abelm weight likelihood function determin method ralselm type ii maximum likelihood algorithm deriv learn paramet abelm base ralselm abelm use pair weight follow reciproc relationship obtain two nonparallel regressor includ lowerbound regressor upperbound regressor respect can use calcul pis final discuss given adjust weight adapt meet desir pi use propos telm nonlinear quantil regress result numer comparison data one synthet regress problem three univers california irvin benchmark regress problem two actual industri regress problem show effect propos model

Resumos Similares

Lifetime Data Anal - Profile local linear estimation of generalized semiparametric regression model for longitudinal data. ( 0,693398824727048 )
Comput Methods Programs Biomed - A warning concerning the estimation of multinomial logistic models with correlated responses in SAS. ( 0,679176456589771 )
Artif Intell Med - Improved modeling of clinical data with kernel methods. ( 0,67697834919529 )
Neural Comput - Self-consistent learning of the environment. ( 0,660256710176529 )
Neural Comput - Least squares estimation without priors or supervision. ( 0,659196883773273 )
Lifetime Data Anal - Quantifying the average of the time-varying hazard ratio via a class of transformations. ( 0,656906275085604 )
Res Synth Methods - Robust variance estimation with dependent effect sizes: practical considerations including a software tutorial in Stata and spss. ( 0,653965533143388 )
IEEE Trans Pattern Anal Mach Intell - Covariate Shift Adaptation for Discriminative 3D Pose Estimation. ( 0,653718210537467 )
Med Decis Making - Contrasting two frameworks for ROC analysis of ordinal ratings. ( 0,65355040736253 )
BMC Med Inform Decis Mak - Using latent class analysis to model prescription medications in the measurement of falling among a community elderly population. ( 0,650695709857294 )
Lifetime Data Anal - Estimating treatment effects on the marginal recurrent event mean in the presence of a terminating event. ( 0,649732780264225 )
Med Decis Making - Lehmann family of ROC curves. ( 0,648626193780032 )
Neural Comput - Blocked 3?2 cross-validated t-test for comparing supervised classification learning algorithms. ( 0,647338653573507 )
Lifetime Data Anal - Semiparametric methods for center effect measures based on the ratio of survival functions. ( 0,639651683943069 )
Med Decis Making - Calculating Utility Decrements Associated With an Adverse Event: Marginal Tobit and CLAD Coefficients Should Be Used With Caution. ( 0,638812868650596 )
Lifetime Data Anal - Competing risks with missing covariates: effect of haplotypematch on hematopoietic cell transplant patients. ( 0,637625961540291 )
Int J Health Geogr - Modeling larval malaria vector habitat locations using landscape features and cumulative precipitation measures. ( 0,633979190161863 )
Lifetime Data Anal - Non-crossing weighted kernel quantile regression with right censored data. ( 0,630897937004193 )
Methods Inf Med - Probability machines: consistent probability estimation using nonparametric learning machines. ( 0,630897505107988 )
Med Decis Making - Regression estimators for generic health-related quality of life and quality-adjusted life years. ( 0,629585066736625 )
Med Decis Making - Underestimation of uncertainties in health utilities derived from mapping algorithms involving health-related quality-of-life measures: statistical explanations and potential remedies. ( 0,628491614268056 )
Comput Math Methods Med - A gradient boosting algorithm for survival analysis via direct optimization of concordance index. ( 0,627039197827609 )
IEEE Trans Image Process - Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model. ( 0,624449601400743 )
Lifetime Data Anal - Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches. ( 0,621425256554001 )
Lifetime Data Anal - A class of semiparametric transformation models for survival data with a cured proportion. ( 0,620224937455485 )
J Am Med Inform Assoc - Predicting complications of percutaneous coronary intervention using a novel support vector method. ( 0,617664172287739 )
J Am Med Inform Assoc - Supervised embedding of textual predictors with applications in clinical diagnostics for pediatric cardiology. ( 0,616682094235258 )
Lifetime Data Anal - Estimation of odds of concordance based on the Aalen additive model. ( 0,613507931637911 )
IEEE Trans Image Process - A CURE for noisy magnetic resonance images: chi-square unbiased risk estimation. ( 0,611921939376177 )
IEEE Trans Image Process - Adaptive Markov random fields for joint unmixing and segmentation of hyperspectral images. ( 0,610956261820098 )
Lifetime Data Anal - On collapsibility and confounding bias in Cox and Aalen regression models. ( 0,609698529722473 )
Int J Health Geogr - Assessing the effects of variables and background selection on the capture of the tick climate niche. ( 0,608947836624749 )
Lifetime Data Anal - A consistent NPMLE of the joint distribution function with competing risks data under the dependent masking and right-censoring model. ( 0,603719403506361 )
Med Decis Making - An efficient method for computing single-parameter partial expected value of perfect information. ( 0,603265529557076 )
Neural Comput - A Monte Carlo Metropolis-Hastings algorithm for sampling from distributions with intractable normalizing constants. ( 0,603180947959926 )
J Chem Inf Model - A robust boosting regression tree with applications in quantitative structure-activity relationship studies of organic compounds. ( 0,601904711819993 )
Neural Comput - Mismatched training and test distributions can outperform matched ones. ( 0,600980546213023 )
Comput Math Methods Med - An efficient diagnosis system for Parkinson's disease using kernel-based extreme learning machine with subtractive clustering features weighting approach. ( 0,600874396974024 )
Comput Methods Programs Biomed - Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques. ( 0,600248093299429 )
J Chem Inf Model - Estimation of environment-related properties of chemicals for design of sustainable processes: development of group-contribution+ (GC+) property models and uncertainty analysis. ( 0,599851036496486 )
Neural Comput - ROC-based estimates of neural-behavioral covariations using matched filters. ( 0,599711973340938 )
Lifetime Data Anal - Events per variable for risk differences and relative risks using pseudo-observations. ( 0,598038446127013 )
Comput Math Methods Med - An empirical likelihood method for semiparametric linear regression with right censored data. ( 0,597072790246101 )
J Med Syst - A biomedical decision support system using LS-SVM classifier with an efficient and new parameter regularization procedure for diagnosis of heart valve diseases. ( 0,59397350350949 )
AMIA Annu Symp Proc - Improving predictions in imbalanced data using Pairwise Expanded Logistic Regression. ( 0,593466098387329 )
IEEE Trans Pattern Anal Mach Intell - Scaling Multidimensional Inference for Structured Gaussian Processes. ( 0,593269954054217 )
Brief. Bioinformatics - On the validity of time-dependent AUC estimators. ( 0,592366573082427 )
Neural Comput - Reliability of information-based integration of EEG and fMRI data: a simulation study. ( 0,591879332723498 )
Lifetime Data Anal - Pseudo-observations for competing risks with covariate dependent censoring. ( 0,588976915139963 )
Lifetime Data Anal - Bayesian analysis for monotone hazard ratio. ( 0,587289643961078 )
J. Comput. Biol. - An optimization-based sampling scheme for phylogenetic trees. ( 0,586321179377324 )
IEEE Trans Pattern Anal Mach Intell - Learning Graphical Model Parameters with Approximate Marginal Inference. ( 0,584099395296134 )
J Clin Monit Comput - Effect of concurrent oxygen therapy on accuracy of forecasting imminent postoperative desaturation. ( 0,583863948700524 )
IEEE Trans Neural Netw Learn Syst - The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS. ( 0,583193866728161 )
Brief. Bioinformatics - Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data. ( 0,583082021233413 )
AMIA Annu Symp Proc - Learning medical diagnosis models from multiple experts. ( 0,582113076139002 )
IEEE Trans Image Process - A weighted dictionary learning model for denoising images corrupted by mixed noise. ( 0,581925044713725 )
Lifetime Data Anal - On estimation of linear transformation models with nested case-control sampling. ( 0,581443574823008 )
Lifetime Data Anal - Nonparametric estimation with recurrent competing risks data. ( 0,580945878046459 )
Neural Comput - Adaptive metric learning vector quantization for ordinal classification. ( 0,580705866299344 )
Comput. Biol. Med. - A ternary model of decompression sickness in rats. ( 0,580644791797655 )
Lifetime Data Anal - A two-stage estimation in the Clayton-Oakes model with marginal linear transformation models for multivariate failure time data. ( 0,579798704624839 )
Int J Comput Assist Radiol Surg - Controlling motion prediction errors in radiotherapy with relevance vector machines. ( 0,579443264101237 )
Comput Methods Programs Biomed - Bayesian Decision Trees for predicting survival of patients: a study on the US National Trauma Data Bank. ( 0,579353941985311 )
Lifetime Data Anal - The beta modified Weibull distribution. ( 0,577209336036654 )
IEEE Trans Image Process - Robust albedo estimation from a facial image with cast shadow under general unknown lighting. ( 0,575813259888908 )
Comput Methods Programs Biomed - Poisson regression models outperform the geometrical model in estimating the peak-to-trough ratio of seasonal variation: a simulation study. ( 0,575600168548189 )
Lifetime Data Anal - Nonparametric estimation of the cumulative intensities in an interval censored competing risks model. ( 0,574856510051809 )
J Med Syst - A new approach: role of data mining in prediction of survival of burn patients. ( 0,574812003353731 )
Neural Comput - An efficient learning procedure for deep Boltzmann machines. ( 0,574413903190464 )
Lifetime Data Anal - Nonparametric quasi-likelihood for right censored data. ( 0,574081537567645 )
Lifetime Data Anal - Marginal semiparametric multivariate accelerated failure time model with generalized estimating equations. ( 0,573451825235734 )
Methods Inf Med - Regularization for generalized additive mixed models by likelihood-based boosting. ( 0,57324863312156 )
Lifetime Data Anal - A pool-adjacent-violators type algorithm for non-parametric estimation of current status data with dependent censoring. ( 0,573070774110876 )
Lifetime Data Anal - Misclassification of current status data. ( 0,569850392605683 )
Lifetime Data Anal - Imputation for semiparametric transformation models with biased-sampling data. ( 0,569657510154329 )
Lifetime Data Anal - Optimal goodness-of-fit tests for recurrent event data. ( 0,568700480650015 )
Comput Methods Programs Biomed - A bootstrap approach for lower injury levels of the risk curves. ( 0,56763779043725 )
Comput Methods Programs Biomed - PSHREG: a SAS macro for proportional and nonproportional subdistribution hazards regression. ( 0,567591078927813 )
Med Biol Eng Comput - Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system. ( 0,567384780341658 )
Neural Comput - Regularized parameter estimation in high-dimensional gaussian mixture models. ( 0,567121156596122 )
J Chem Inf Model - Training based on ligand efficiency improves prediction of bioactivities of ligands and drug target proteins in a machine learning approach. ( 0,56702729312644 )
IEEE Trans Neural Netw Learn Syst - Application of Reinforcement Learning Algorithms for the Adaptive Computation of the Smoothing Parameter for Probabilistic Neural Network. ( 0,5670037822258 )
Neural Comput - A general likelihood framework for characterizing the time course of neural activity. ( 0,566828049500788 )
BMC Med Inform Decis Mak - Filtering data from the collaborative initial glaucoma treatment study for improved identification of glaucoma progression. ( 0,566505496539965 )
Lifetime Data Anal - Matched survival data in a co-twin control design. ( 0,566334354849101 )
IEEE Trans Image Process - Multiview Hessian regularization for image annotation. ( 0,565798236250763 )
Med Decis Making - The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes. ( 0,565662952562702 )
Neural Comput - Bounding the bias of contrastive divergence learning. ( 0,56502218964663 )
Lifetime Data Anal - The weighted log-rank class under truncated binomial design: saddlepoint p-values and confidence intervals. ( 0,56479723516698 )
Lifetime Data Anal - A parametric model fitting time to first event for overdispersed data: application to time to relapse in multiple sclerosis. ( 0,56333542546425 )
J Chem Inf Model - Pragmatic approaches to using computational methods to predict xenobiotic metabolism. ( 0,562776977996538 )
Artif Intell Med - Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks. ( 0,562756425254153 )
IEEE Trans Image Process - Maximum likelihood orientation estimation of 1-D patterns in Laguerre-Gauss subspaces. ( 0,562656820145316 )
Comput Methods Programs Biomed - Flexible multivariate marginal models for analyzing multivariate longitudinal data, with applications in R. ( 0,562389629816941 )
Comput Methods Programs Biomed - Biomedical system based on the Discrete Hidden Markov Model using the Rocchio-Genetic approach for the classification of internal carotid artery Doppler signals. ( 0,560421769333927 )
Comput Methods Programs Biomed - Mixture and non-mixture cure fraction models based on the generalized modified Weibull distribution with an application to gastric cancer data. ( 0,560128488631196 )
Lifetime Data Anal - Evaluating hospital readmission rates in dialysis facilities; adjusting for hospital effects. ( 0,559996416034406 )
J. Comput. Biol. - Accuracy estimation and parameter advising for protein multiple sequence alignment. ( 0,559132542575711 )
Lifetime Data Anal - A generalization of Turnbull's estimator for nonparametric estimation of the conditional survival function with interval-censored data. ( 0,559048289252428 )