... the task oftext classification in a Bayesianlearning framework. This approach assumes that the text data was generated by a parametric model, anduses training data to calculate Bayes- optimal ... length, their event model is no longerstrictly a multinomial. A ComparisonofEventModelsforNaiveBayesText ClassificationAndrew McCallum ‡† mccallum@ justresearch.comKamal Nigam†knigam@cs.cmu.edu‡Just ... MachineLearning, 1997.Pat Langley, Wayne Iba, and Kevin Thompson. An anal-ysis of Bayesian classifiers. In AAAI-92, 1992.Leah S. Larkey and W. Bruce Croft. Combining classifiersin text categorization....
... e-mail: Acomparisonof a Naive Bayesian and a memory-based approach.In H. Zaragoza, P. Gallinari, and M. Rajman, edi-tors, Proc. Workshop on Machine Learning and Tex-tual Infbrmation Access, ... eventmodelsforNaiveBayestext clas-sification. In Proc. AAAI-98 Workshop on Learning for Text Categorization, pages 41-48. AAAI Press.Dunja Mladeni6 and Marko Grobelnik. 1999. Featureselection ... classifye-mail. In Papers from the AAAI Spring Symposiumon Machine Learning in Information Access, pages18-25, Stanford, CA. AAAI Press.Thomas M. Cover and Joy A. Thomas. 1991. Elements of InfOrmation...
... LearningResearch, 9:1871–1874, June.Jan Hajiˇc, Massimiliano Ciaramita, Richard Johansson,Daisuke Kawahara, Maria Ant`onia Mart´ı, Llu´ıs M`arquez,Adam Meyers, Joakim Nivre, Sebastian Pad´o, ... dependency parsers).3 ResultsTable 3 tabulates efficiency and performance for allparsers; UAS and LAS are unlabeled and labeled at-tachment scores, respectively — the standard crite-ria for evaluating ... reviewers, for valuable comments.Supported in part by the National Natural Science Founda-tion of China (NSFC) via grant 61133012, the National “863”Major Project grant 2011AA0 1A2 07, and the National...
... original and resampled data sets.One-way Analysis of Variance (ANOVA) failed toreject the null hypothesis that NRMSE andR2 a have dif-ferent mean values for each model, meaning that thedifference ... formulation are available in [54]. ε-SVRhas previously been utilized for estimation of graspforces [22,25]. The Gaussian kernel was used as itenables nonlinear mapping of samples and has a ... IEEE Transactionson Neural Systems and Rehabilitation Engineering 10(1):30-37.57. Hiraiwa A, Shimohara K, Tokunaga Y: EMG Pattern Analysis and Classification by Neural Network. Systems, Man and...
... Seehttp://www.research.digital.com/SRC/juno-2.[10]JayaramanKrishnasamy, MarkJ.Jakiela, andDanielE.Whit-ney. Mechanics of vibration-assisted entrapment with appli-cation to design. In International Conference ... February 1971.[15]Balas K. Natarajan. Some paradigms for the automated de-sign of parts feeders. International Journal of Robotics Re-search, 8(6):98–109, December 1989. Also appeared in ... takingthe Cartesian product over all the parameter values. It alsoallows us to specify equivalence classes of stable states, andit then automatically categorizes the state (and hence, theequivalence...
... 2007).5 A Comparisonof High-Level Full-System Power Models Suzanne RivoireSonoma State UniversityParthasarathy RanganathanHewlett-Packard LabsChristos KozyrakisStanford UniversityAbstractDynamic ... a variety of software workloads and hardware platforms.The desirable properties ofa full-system model suitable for this type of online use are as follows:Accuracy: The model must be accurate ... we use a common infrastructure to generateseveral high-level full-system power modelsfora wide range of workloads and machines, and we compare the accuracy of these models in each instance....
... dependency parser. 1 Introduction A persistent goal of natural language processing research has been the automated transformation of natural language texts into representations that unambiguously ... training data is available. 6 Discussion Annotated corpora of linguistic phenomena en-able many new natural language processing ap-plications and provide new means for tackling difficult research ... International Conference on Language Resources and Evaluation, Granada, Spain. Marcus, Mitchell P., Beatrice Santorini and Mary Ann Marcinkiewicz. 1993. Building a Large Annotated Corpus of...
... over thissubsample. The final table presents a multivariate measure of forecast accuracy,namely the trace of the forecast error covariance matrix.4.1 Overall forecast performance4.1.1 GDP ... influence of time-varying parameters and a large information seton forecast performance.The TVAR model that uses the lag of inflation as the threshold variable consistentlydelivers more accurate forecasts ... between theforecasting performance of an AR(1) model and that ofa TVP-VAR (standard) (andhence white cells on the right-hand side of Table C). Note also that allowing for heteroscedastic shocks...
... (ITF). A direct comparison reveals that all language models are highly correlated; however, the average ISF and ITF values are 5.5 and 10.4 higher than IDF. All language models appeared to ... comparisons among these the event spaces. (4) Abstract versus full -text comparison Language modelsof scientific articles often consider only abstracts because they are easier to obtain than full -text ... 051015123456789101112131415161718Global IDFAverage Local IDFACHRE4ANCHAMBICHAWBIPRETBOMAF6CGDEFUCMATEXESTHAGIECREDINOCAJJACSATJAFCAUJCCHFFJCISD8JMCMARJNPRDFJOCEAHJPCAFHJPCBFKJPROBSMAMOBXMPOHBPNALEFDOPRDFKORLEF7...
... overall. Cost____________15 Warrant officers are managed according to the Warrant OfficerManagement Act, which was passed as part of the National DefenseAuthorization Act for Fiscal Years ... The services share thesame basic pay table for officers, enlisted personnel, and warrantofficers. The basic pay table includes an amount for each pay grade6 aswell as incremental longevity ... enougheffort in those performance areas that are measured and that matter for positive evaluation necessary for promotion.Many Elements of the Tournament System Are Important in the MilitaryThere are...
... combined models. Our empirical comparisonof BP and DD also com-plements the theoretically-oriented comparison of marginal- and margin-based variational approxima-tions for parsing described by Martins ... in a previously circulated draft of this paper, for two reasons: we evaluate only on sentences for which a parsewas returned instead of all parses, to enable direct comparison with Clark and ... Hockenmaier and M. Steedman. 2002. Generative models for statistical parsing with Combinatory Cat-egorial Grammar. In Proc. of ACL.J. Hockenmaier and M. Steedman. 2007. CCGbank: A corpus of CCG...
... function f as a real valued func- tion taking two arguments, a event e and a context c. The context c is an equivalence class of states un- der which an action is taken, and the event e is an equivalence ... having iden- tical sublanguage domain and test data, and using similar automata for analysis in the transfer system and transduction in the transducer system. Another justification is that ... 2.1 Monolingual Relational Models We can characterize the language models used for analysis and generation in the transfer system as quantitative generative modelsof ordered depen- dency...
... is based on Shannon’s entropy. It is a statistical measurement of the capability ofa feature to separate digit classes. If the information measure ofa feature is high, it indicates that the ... for the use of neural network learning techniques for this type of application and data set, and insight about the appropriate design, use, and parameterization of the network to achieve acceptable ... between a feature’s template and the input image. A value of 0 indicates that a feature template did not match the digit image; a value of 1 indicates a complete match; and values in between these...
... now adopted AUC for evaluating predictive ability of classifiers owing to the factthat AUC is a better performance metric than accuracy[31]. In this study, AUC was used as a value to comparethe ... BioMed CentralPage 1 of 8(page number not for citation purposes)Journal of Translational MedicineOpen AccessResearch A comparisonofclassification methods for predicting Chronic Fatigue Syndrome ... SNPs for the naiveBayes classifierwith the wrapper-based approach (n = 8) was less than theone for the naiveBayes classifier with the hybrid approach(n = 12).DiscussionWe have compared...