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Proceedings of 1994 Workshop on Information Theory and Statistics最新文献

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Neural network approximation and estimation of functions
Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI: 10.1109/WITS.1994.513888
G. Cheang
{"title":"Neural network approximation and estimation of functions","authors":"G. Cheang","doi":"10.1109/WITS.1994.513888","DOIUrl":"https://doi.org/10.1109/WITS.1994.513888","url":null,"abstract":"Approximation and estimation bounds were obtained by Barron (see Proc. of the 7th Yale workshop on adaptive and learning systems, 1992, IEEE Transactions on Information Theory, vol.39, pp.930-944, 1993 and Machine Learning, vol.14, p.113-143, 1994) for function estimation by single hidden-layer neural nets. This paper highlights the extension of his results to the two hidden-layer case. The bounds derived for the two hidden-layer case depend on the number of nodes T/sub 1/ and T/sub 2/ in each hidden-layer, and also on the sample size N. It is seen from our bounds that in some cases, an exponentially large number of nodes, and hence parameters, is not required.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129352434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Large deviations and consistent estimates for Gibbs random fields 吉布斯随机场的大偏差和一致估计
Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI: 10.1109/WITS.1994.513876
F. Comets
{"title":"Large deviations and consistent estimates for Gibbs random fields","authors":"F. Comets","doi":"10.1109/WITS.1994.513876","DOIUrl":"https://doi.org/10.1109/WITS.1994.513876","url":null,"abstract":"Large deviations estimates yield a convenient tool to study asymptotics of Gibbs fields. Applications to parametric estimation and detection of phase transition are given. Gibbs random fields provide pertinent statistical models for spacial data, where important features of the dependence structure can be captured in a very natural way.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"54 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114030217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Bandwidth choice and convergence rates in density estimation with long-range dependent data 远距离依赖数据密度估计中的带宽选择和收敛速率
Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI: 10.1109/WITS.1994.513875
P. Hall, S. Lahiri, Y. Truong
{"title":"Bandwidth choice and convergence rates in density estimation with long-range dependent data","authors":"P. Hall, S. Lahiri, Y. Truong","doi":"10.1109/WITS.1994.513875","DOIUrl":"https://doi.org/10.1109/WITS.1994.513875","url":null,"abstract":"The authors discuss the optimal bandwidth choice and optimal convergence rates for density estimation with dependent data, as the amount of information in the sample is altered by adjusting the range of dependence. They assume that data are observed from a stationary stochastic process that may be taken to be an unknown function of a Gaussian process.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126648795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Information theory and statistics 信息论与统计学
Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI: 10.1109/WITS.1994.513846
T. Cover
{"title":"Information theory and statistics","authors":"T. Cover","doi":"10.1109/WITS.1994.513846","DOIUrl":"https://doi.org/10.1109/WITS.1994.513846","url":null,"abstract":"The main theorems in information theory and statistics are put in context, the differences are discussed, and some of the open research problems are mentioned. The author demonstrates some of the points of intersection of information theory and statistics, and discuss some problems in physics and computer science that require a rigorous probabilistic treatment.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115348909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Bounds on universal coding: the next generation 通用编码的边界:下一代
Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI: 10.1109/WITS.1994.513855
J. Ziv
{"title":"Bounds on universal coding: the next generation","authors":"J. Ziv","doi":"10.1109/WITS.1994.513855","DOIUrl":"https://doi.org/10.1109/WITS.1994.513855","url":null,"abstract":"An important class of universal encoders is the one where the encoder is fed by two inputs: a) The incoming string of data to be compressed. b) An N-bit description of the source statistics (i.e. a \"training sequence\"). We consider fixed-to-variable universal encoders that noiselessly compress blocks of length l.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129856443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Lower bounds on expected redundancy 期望冗余的下界
Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI: 10.1109/WITS.1994.513857
Bin Yu
{"title":"Lower bounds on expected redundancy","authors":"Bin Yu","doi":"10.1109/WITS.1994.513857","DOIUrl":"https://doi.org/10.1109/WITS.1994.513857","url":null,"abstract":"This paper focuses on lower bound results on expected redundancy for universal compression of i.i.d. data from parametric and nonparametric families. Two types of lower bounds are reviewed. One is Rissanen's almost pointwise lower bound and its extension to the nonparametric case. The other is minimax lower bounds, for which a new proof is given in the nonparametric case.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129590019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Choosing data sets that optimize the determinant of the Fisher information matrix 选择优化费雪信息矩阵行列式的数据集
Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI: 10.1109/WITS.1994.513902
W. Poston, J. Solka
{"title":"Choosing data sets that optimize the determinant of the Fisher information matrix","authors":"W. Poston, J. Solka","doi":"10.1109/WITS.1994.513902","DOIUrl":"https://doi.org/10.1109/WITS.1994.513902","url":null,"abstract":"In many situations it is desirable to operate on a subset of the data only. These can arise in the areas of experimental design, robust estimation of multivariate location, and density estimation. The paper describes a method of subset selection that optimizes the determinant of the Fisher information matrix (FIM) which is called the effective independence distribution (EID) method. It provides some motivation that justifies the use of the EID, and the problem of finding the subset of points to use in the estimation of the minimum volume ellipsoid (MVE) is examined as an application of interest.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129600136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The application of Akaike information criterion based pruning to nonparametric density estimates 基于Akaike信息准则的剪枝在非参数密度估计中的应用
Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI: 10.1109/WITS.1994.513903
J. Solka, C. Priebe, G. Rogers, W. Poston, D. Marchette
{"title":"The application of Akaike information criterion based pruning to nonparametric density estimates","authors":"J. Solka, C. Priebe, G. Rogers, W. Poston, D. Marchette","doi":"10.1109/WITS.1994.513903","DOIUrl":"https://doi.org/10.1109/WITS.1994.513903","url":null,"abstract":"This paper examines the application of Akaike (1974) information criterion (AIC) based pruning to the refinement of nonparametric density estimates obtained via the adaptive mixtures (AM) procedure of Priebe (see JASA, vol.89, no.427, p.796-806, 1994) and Marchette. The paper details a new technique that uses these two methods in conjunction with one another to predict the appropriate number of terms in the mixture model of an unknown density. Results that detail the procedure's performance when applied to different distributional classes are presented. Results are presented on artificially generated data, well known data sets, and some features for mammographic screening.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123985638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Tree-based models for speech and language 基于树的语音和语言模型
Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI: 10.1109/WITS.1994.513863
M. D. Riley
{"title":"Tree-based models for speech and language","authors":"M. D. Riley","doi":"10.1109/WITS.1994.513863","DOIUrl":"https://doi.org/10.1109/WITS.1994.513863","url":null,"abstract":"Several applications of statistical tree-based modelling are described to problems in speech and language, including prediction of possible phonetic realizations, segment duration modelling in speech synthesis and end of sentence detection in text analysis.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123356625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Nonparametric classifier design using vector quantization 基于矢量量化的非参数分类器设计
Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI: 10.1109/WITS.1994.513862
Q. Xie, R. Ward, C. Laszlo
{"title":"Nonparametric classifier design using vector quantization","authors":"Q. Xie, R. Ward, C. Laszlo","doi":"10.1109/WITS.1994.513862","DOIUrl":"https://doi.org/10.1109/WITS.1994.513862","url":null,"abstract":"VQ-based method is developed as an effective data reduction technique for nonparametric classifier design. This new technique, while insisting on competitive classification accuracy, is found to overcome the usual disadvantage of traditional nonparametric classifiers of being computationally complex and of requiring large amounts of computer storage.","PeriodicalId":423518,"journal":{"name":"Proceedings of 1994 Workshop on Information Theory and Statistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126559803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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