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449
A Study of CrossValidation and Bootstrap for Accuracy Estimation and Model Selection
 INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE
, 1995
"... We review accuracy estimation methods and compare the two most common methods: crossvalidation and bootstrap. Recent experimental results on artificial data and theoretical results in restricted settings have shown that for selecting a good classifier from a set of classifiers (model selection), te ..."
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Cited by 1283 (11 self)
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validation, we vary the number of folds and whether the folds are stratified or not; for bootstrap, we vary the number of bootstrap samples. Our results indicate that for realword datasets similar to ours, the best method to use for model selection is tenfold stratified cross validation, even if computation
Neural NetworkBased Face Detection
 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 1998
"... We present a neural networkbased upright frontal face detection system. A retinally connected neural network examines small windows of an image and decides whether each window contains a face. The system arbitrates between multiple networks to improve performance over a single network. We present ..."
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Cited by 1206 (22 self)
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We present a neural networkbased upright frontal face detection system. A retinally connected neural network examines small windows of an image and decides whether each window contains a face. The system arbitrates between multiple networks to improve performance over a single network. We present
Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments
 SYST BIOL
, 2007
"... Alignment quality may have as much impact on phylogenetic reconstruction as the phylogenetic methods used. Not only the alignment algorithm, but also the method used to deal with the most problematic alignment regions, may have a critical effect on the final tree. Although some authors remove such ..."
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Cited by 319 (1 self)
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such problematic regions, either manually or using automatic methods, in order to improve phylogenetic performance, others prefer to keep such regions to avoid losing any information. Our aim in the present work was to examine whether phylogenetic reconstruction improves after alignment cleaning or not. Using
Being Bayesian about network structure
 Machine Learning
, 2000
"... Abstract. In many multivariate domains, we are interested in analyzing the dependency structure of the underlying distribution, e.g., whether two variables are in direct interaction. We can represent dependency structures using Bayesian network models. To analyze a given data set, Bayesian model sel ..."
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Cited by 299 (3 self)
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Abstract. In many multivariate domains, we are interested in analyzing the dependency structure of the underlying distribution, e.g., whether two variables are in direct interaction. We can represent dependency structures using Bayesian network models. To analyze a given data set, Bayesian model
Bootstrap methods for time series
 International Statist. Review
, 2003
"... The bootstrap is a method for estimating the distribution of an estimator or test statistic by resampling one’s data or a model estimated from the data. The methods that are available for implementing the bootstrap and the accuracy of bootstrap estimates depend on whether the data are a random sampl ..."
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Cited by 44 (0 self)
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The bootstrap is a method for estimating the distribution of an estimator or test statistic by resampling one’s data or a model estimated from the data. The methods that are available for implementing the bootstrap and the accuracy of bootstrap estimates depend on whether the data are a random
Comparing Bootstrap and Posterior Probability Values in the FourTaxon Case
, 2003
"... Assessment of the reliability of a given phylogenetic hypothesis is an important step in phylogenetic analysis. Historically, the nonparametric bootstrap procedure has been the most frequently used method for assessing the support for specific phylogenetic relationships. The recent employment of Bay ..."
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Cited by 61 (4 self)
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branch corner, and (3) deep in the twobranch corner. In the last two regions, significant differences occur between mean bootstrap and mean posterior probability values. Whether bootstrap or posterior probability values are higher depends on the data in support of alternative topologies. Examination of star
Bootstrap estimates for confidence intervals in ASR performance evaluation
 Proc. of ICASSP
, 2004
"... The field of speech recognition has clearly benefited from precisely defined testing conditions and objective performance measures such as word error rate. In the development and evaluations of new methods, the question arises whether the empirically observed difference in performance is due to a ge ..."
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Cited by 70 (8 self)
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The field of speech recognition has clearly benefited from precisely defined testing conditions and objective performance measures such as word error rate. In the development and evaluations of new methods, the question arises whether the empirically observed difference in performance is due to a
The psychometric function: II. Bootstrapbased confidence intervals and sampling, Perception and Psychophysics 63
, 2001
"... The psychometric function relates an observer’s performance to an independent variable, usually a physical quantity of an experimental stimulus. Even if a model is successfully fit to the data and its goodness of fit is acceptable, experimenters require an estimate of the variability of the paramete ..."
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Cited by 116 (15 self)
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of the parameters to assess whether differences across conditions are significant. Accurate estimates of variability are difficult to obtain, however, given the typically small size of psychophysical data sets: Traditional statistical techniques are only asymptotically correct and can be shown to be unreliable
Semantic Bootstrapping and Ergativity
, 2000
"... this paper, I investigate whether semantic bootstrapping (e. g. Pinker 1984) can account for the acquisition of casemarking inflection in ergative and split ergative languages. ..."
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this paper, I investigate whether semantic bootstrapping (e. g. Pinker 1984) can account for the acquisition of casemarking inflection in ergative and split ergative languages.
The Bootstrap Is Inconsistent With Probability Theory
 In Maximum entropy and Bayesian Methods
, 1996
"... . This paper proves that for no prior probability distribution does the bootstrap (BS) distribution equal the predictive distribution, for all Bernoulli trials of some fixed size. It then proves that for no prior will the BS give the same first two moments as the predictive distribution for all siz ..."
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. This paper proves that for no prior probability distribution does the bootstrap (BS) distribution equal the predictive distribution, for all Bernoulli trials of some fixed size. It then proves that for no prior will the BS give the same first two moments as the predictive distribution for all
Results 1  10
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449