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Search Results: 1 - 10 of 6691 matches for " Sample Training "
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The Study of Multi-Expression Classification Algorithm Based on Adaboost and Mutual Independent Feature  [PDF]
Liying Lang, Zuntao Hu
Journal of Signal and Information Processing (JSIP) , 2011, DOI: 10.4236/jsip.2011.24038
Abstract: In the paper conventional Adaboost algorithm is improved and local features of face such as eyes and mouth are separated as mutual independent elements for facial feature extraction and classification. The multi-expression classification algorithm which is based on Adaboost and mutual independent feature is proposed. In order to effectively and quickly train threshold values of weak classifiers of features, Sample of training is carried out simple improvement. We obtain a good classification results through experiments.
Equivalência de estímulos após treino de pareamento consistente de estímulos com atraso do modelo
Assis, Grauben José Alves de;Baptista, Marcelo Quintino Galv?o;Kato, Olívia Missae;Cardoso, Danielle Grain;
Estudos de Psicologia (Natal) , 2003, DOI: 10.1590/S1413-294X2003000100008
Abstract: previous studies have shown the formation of equivalence relations following training by stimulus consistency matching. using common figures as stimuli, the aim of this experiment was to verify the effects of a similar procedure involving, however, delayed smaple stimulus presentation among eight university students of both sexes. a microcomputer with a touch-sensitive screen was utilized. between training of conditional discriminations, ab and ac, symmetry (ba, ca) and equivalence tests (bc, cb) were inserted; the sample stimulus appeared in the center of the screen. following response, the sample was withdrawn, and three comparison stimuli - one of them consistent - were shown simultaneously in the side windows, without differential consequences for correct or incorrect responses. seven respondents reached criterion, five demonstrated having attained symmetry, and one, equivalence relations. these results replicated, in part, the outcomes of previous experiments.
Sources of preanalytical errors and the role of training in error prevention
O?uzhan ?zcan,A. Semra Güreser
Dicle Medical Journal , 2012,
Abstract: Objectives: We aimed to analyze the preanalytical errorsand the role of training in the prevention of error insamples sent to the biochemistry and microbiology laboratories.Materials and methods: All samples accepted in thecentral laboratory during eight-month period were evaluatedretrospectively. Distribution of rejected sampleswere classified according to preanalytical error categories(wrong sample, improper sample, incorrect barcode,insufficient volume, exceeded volume, clotted sample,hemolyzed/lipemic samples, contamination and otherreasons) and study groups. The type and the frequencyof errors in the laboratory study groups were shownas a percentage of total errors and the total number ofsamples. Contamination rates in blood and urine culturesand distribution of contamination rates in urine culturesaccording to gender and age were investigated. In addition,error rates before and after routine training aboutpreanalytical processes were compared.Results: The frequency of preanalytical error was 0.77 %.The first three most common errors were; contamination(30.4 %), clotted sample (19.4 %) and insufficient volume(15.6 %). Contamination rates were higher in urine cultures(88.2 %) than those in blood cultures (11.2 %) andthe most frequent error in urine cultures was observedin women and the patients under the age of 18. In addition,it was determined that the error rates significantlydecreased after the training (p<0.05).Conclusions: Laboratory and phlebotomy staff should beeducated continuously in order to reduce the error rate inthe preanalytical phase of the laboratory testing process.Key words: Preanalytical error, insufficient volume, clottedsample, contamination, training
Discrimina??es condicionais após treino de pareamento consistente de estímulos complexos com atraso
Assis, Grauben José Alves de;Baptista, Marcelo Quintino Galv?o;Menezes, Aline Beckmann de Castro;
Estudos de Psicologia (Natal) , 2006, DOI: 10.1590/S1413-294X2006000200011
Abstract: the aim of this investigation was to assess the formation of conditional discriminations by means of a procedure involving complex stimulus training with delay. in phase i five university students received a pretraining tx trial followed by ae, bf and dc acquisition training involving matching-to-sample and simple comparison. in phase ii a pretraining n-o/p, the training ab-e/f, and ad-c/f, with consistency training. these training trials were interspersed with ef/fe, cf/fc, and bd/db transitivity and equivalence tests following complex matching-to-sample and simple comparison. in phase iii ab-e/f and ad-cf trials occurred jointly with ab-e, ab-f and ad-c sequences, followed by transitivity and equivalence tests. all of the respondents formed conditional relations involving simple and complex matching-to-sample, albeit with variability across the trials. variation was also present in the formation of emergent relations. these results suggest that, in spite of the variability, the procedures produced conditional discrimination leading to the formation of equivalent stimulus classes. in future research the identification of the most efficient forms of stimulus control is deemed necessary.
Discrimina??es condicionais após treino de pareamento consistente de estímulos complexos
Assis, Grauben;Baptista, Marcelo Galv?o;Kato, Olivia Misae;Menezes, Aline Beckmann de;
Estudos de Psicologia (Natal) , 2004, DOI: 10.1590/S1413-294X2004000200011
Abstract: the aim of this study was to verify the formation of conditional discriminations through a consistent matching training procedure with complex sample stimuli. four university students were trained in the formation of af, be e dc conditional relations using simple stimuli and explicit differential reinforcement (phase 1). they were subjected to consistent matching-to-sample training on the ab-e/f and ad-c/f relations involving complex sample stimuli (phase 2). these participants were given the transitive and equivalent tests. training trials were then "dismembered" (simplified) from ab-e/f, and ad-c/f sequences to ab-e; ab-f; ad-c; ad-f sequences, and the students were again tested for transitivity and equivalence (phase 3). all participants reached the learning criterion. two of them demonstrated the emergent relations tested before and after simplified training, and demonstrated response stability. these results indicated that the dismembered procedure was appropriate for reversing the restricted stimulus control.
Statistical Language Model
汉语统计语言模型训练样本容量的定量化度量

ZHANG Yang-sen,
张仰森

计算机科学 , 2009,
Abstract: The training of statistical language model parameter is the key of language modeling.Chooseing how many training samples to meet the demand of the model parameter estimation error is one of concern problems of language modeling theory.We applied mathematical statistics theory to give the estimating method for training samples lower bound capability for chinese model,the quantification estimation formula was suggested.By using this formula,the corpus sample capability needed to train model parameters can be ...
The Impulsing Strategy and Its Algorithm of Variable Weight Synthesizing
变权综合的激励策略及其解法

Liu Wenqi,
刘文奇

系统工程理论与实践 , 1998,
Abstract: In this paper, we have discussed the impulsing strategy of variable weight synthesizing by transforming the problem of optimization strategy with training sample into the problem of unconditional extremum, and given the necessary and sufficient condition of optimization strategy in the case m=n=2 .At last, an example is given to explain how to do. With this way, we can obtain the expected model for effectively evaluating.
Sample Reduction Strategy for SVM Large-scale Training Data Set Using PSO
利用粒子群算法缩减大规模数据集SVM训练样本

ZENG Lian-ming,WU Xiang-bin,LIU Peng,
曾联明
,吴湘滨,刘鹏

计算机科学 , 2009,
Abstract: A PSO algorithm reduction strategy was proposed to a SVM large-scale training samples by updating the velocity and location of the particles,each particle was corresponding to the status of the training samples,the ideal status included the smallest number of sv,the new training sample has reduced some nsv which are not effect the SVM classification,so as to reduce the size of the training data sets.A practice of the remote session image classification has proved that the strategy not only has reduced sampl...
Face recognition with single training sample per person based on generalized slide window and 2DLDA
基于泛滑动窗与2DLDA的单样本人脸识别

CHEN Cai-kou,HUANG Jian-ping,LIU Yong-jun,
陈才扣
,黄建平,刘永俊

计算机应用 , 2007,
Abstract: 对于单训练样本人脸识别,基于每人多个训练样本的传统人脸识别算法效果均不太理想。尤其是基于Fisher线性鉴别准则的一些方法,由于类内散布矩阵为零矩阵,根本无法进行识别。提出一种新的样本扩充方法,即泛滑动窗法。采用“大窗口、小步长”的机制进行窗口图像采集和样本扩充,不仅增加了训练样本,而且充分保持和强化了原始样本模式固有的类内和类间信息。然后,使用二维线性鉴别分析方法(2DLDA)对上面获得的窗口图像进行特征抽取。在ORL国际标准人脸库上进行的实验证实了所提算法的可行性和有效性。
THE QUANTITATIVE ANALYSIS OF THE ATTRACTIVE REGION OF THE PLN NETWORK
PLN网络吸引区域的定量分析

Zhang Ling,Zhang Bo,
张铃
,张钹

软件学报 , 1994,
Abstract: This paper shows that when a generalized A-learning rule of a PLN net is given properly, the net can satisfy the following conditions. (1) All training samples are itsstable states. (2) Each stable state has a maximal attractive region. (3) The net has veryfast convergence speed. Therefore, as an associative memory the PLN network is an idealone.
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