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Prediction methods

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  • part 1 book “predictive methods in percutaneous absorption” has contents: skin structure and physiology, methods for the measurement of per cutaneous absorption, mathematical treatments and early models of skin permeability, the new breadth of research in the field.

    pdf100p tieu_vu14 15-08-2018 5 0   Download

  • part 2 book “predictive methods in percutaneous absorption” has contents: algorithms for estimating permeability across artificial membranes, other approaches to modelling percutaneous absorption, squiggly lines and random dots—you can fit anything with a nonlinear model, the devil is in the detail,… and other contents.

    pdf106p tieu_vu14 15-08-2018 13 0   Download

  • (bq) part 1 book "management science" has contents: introduction, modeling in a problem solving framework, spreadsheet engineering, analysis using spreadsheets, data exploration and preparation, classification and prediction methods, short term forecasting, short term forecasting.

    pdf276p bautroibinhyen30 15-06-2017 28 4   Download

  • (bq) part 1 book “management science – the art of modeling with spreadsheets” has contents: introduction, modeling in a problem-solving framework, spreadsheet engineering, analysis using spreadsheets, data exploration and preparation, classification and prediction methods,… and other contents.

    pdf221p tieu_vu15 07-09-2018 12 0   Download

  • This paper presents an automatic Heart Disease (HD) prediction method based on feature selection with data mining techniques using the provided symptoms and clinical information assigned in the patients dataset. Data mining which allows the extraction of hidden knowledges from the data and explores the relationship between attributes, is the promising technique for HD prediction.

    pdf15p thuyliebe 05-10-2018 23 0   Download

  • This paper is dedicated to the problem of stability prediction of the terrain above underground mining operations. After the initial introduction to the problem, then the short analysis of the model approaches used to solve it, and giving the algorithm for rock massif stability prediction, we describe the concept of the multiattirbute terrain stability prediction method. The application of the multiattribute prediction method for stability of the terrain above underground mining operations is presented on the example of the Brown Coal Mine Aleksinac.

    pdf17p vinguyentuongdanh 19-12-2018 7 0   Download

  • The flight SEU rate is compared and analyzed with the prediction. The result indicates that the SEU prediction method can give appropriately support to electronic parts on-orbit application and the IDT 7026 can be used in spacecraft with some mitigation methods.

    pdf4p praishy2 27-02-2019 5 0   Download

  • State-of-the-art statistical machine translation (MT) systems have made significant progress towards producing user-acceptable translation output. However, there is still no efficient way for MT systems to inform users which words are likely translated correctly and how confident it is about the whole sentence. We propose a novel framework to predict wordlevel and sentence-level MT errors with a large number of novel features. Experimental results show that the MT error prediction accuracy is increased from 69.1 to 72.2 in F-score. ...

    pdf9p hongdo_1 12-04-2013 35 4   Download

  • Methods for analysing trauma injury data with missing values, collected at a UK hospital, are reported. One measure of injury severity, the Glasgow coma score, which is known to be associated with patient death, is missing for 12% of patients in the dataset. In order to include these 12% of patients in the analysis, three different data imputation techniques are used to estimate the missing values.

    pdf6p giacattan 05-01-2013 47 3   Download

  • It is important to correct the errors in the results of speech recognition to increase the performance of a speech translation system. This paper proposes a method for correcting errors using the statistical features of character co-occurrence, and evaluates the method. The proposed method comprises two successive correcting processes. The first process uses pairs of strings: the first string is an erroneous substring of the utterance predicted by speech recognition, the second string is the corresponding section of the actual utterance.

    pdf5p bunrieu_1 18-04-2013 35 3   Download

  • This paper examines the feasibility of using statistical methods to train a part-of-speech predictor for unknown words. By using statistical methods, without incorporating hand-crafted linguistic information, the predictor could be used with any language for which there is a large tagged training corpus. Encouraging results have been obtained by testing the predictor on unknown words from the Brown corpus. The relative value of information sources such as affixes and context is discussed.

    pdf3p bunrieu_1 18-04-2013 29 3   Download

  • We present a new chart parsing method for Lambek grammars, inspired by a method for DTree grammar parsing. The formulae of a Lambek sequent are firstly converted into rules of an indexed grammar formalism, which are used in an Earley-style predictive chart algorithm. The method is non-polynomial, but performs well for practical purposes - - much better than previous chart methods for Lambek grammars.

    pdf8p bunrieu_1 18-04-2013 32 3   Download

  • Accurate estimates of the software cost are a critical part of effective program management, particularly for large, complex systems. Predicting the cost of software has evolved, but the practice of cost prediction is far from perfect. Military and commercial programs alike are replete with examples of software cost estimates that differ

    pdf0p xuancoem 01-02-2013 39 2   Download

  • The computation of selectional preferences, the admissible argument values for a relation, is a well-known NLP task with broad applicability. We present L DA - SP, which utilizes LinkLDA (Erosheva et al., 2004) to model selectional preferences. By simultaneously inferring latent topics and topic distributions over relations, L DA - SP combines the benefits of previous approaches: like traditional classbased approaches, it produces humaninterpretable classes describing each relation’s preferences, but it is competitive with non-class-based methods in predictive power. ...

    pdf11p hongdo_1 12-04-2013 32 2   Download

  • This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain fluent translations into morphologically complex languages (we build an English to Finnish translation system). Our methods use unsupervised morphology induction. Unlike previous work we focus on morphologically productive phrase pairs – our decoder can combine morphemes across phrase boundaries. Morphemes in the target language may not have a corresponding morpheme or word in the source language.

    pdf11p hongdo_1 12-04-2013 40 2   Download

  • Efficient decoding for syntactic parsing has become a necessary research area as statistical grammars grow in accuracy and size and as more NLP applications leverage syntactic analyses. We review prior methods for pruning and then present a new framework that unifies their strengths into a single approach. Using a log linear model, we learn the optimal beam-search pruning parameters for each CYK chart cell, effectively predicting the most promising areas of the model space to explore.

    pdf10p hongdo_1 12-04-2013 26 2   Download

  • We present a pointwise approach to Japanese morphological analysis (MA) that ignores structure information during learning and tagging. Despite the lack of structure, it is able to outperform the current state-of-the-art structured approach for Japanese MA, and achieves accuracy similar to that of structured predictors using the same feature set. We also find that the method is both robust to outof-domain data, and can be easily adapted through the use of a combination of partial annotation and active learning. ...

    pdf5p hongdo_1 12-04-2013 42 2   Download

  • In this paper, we study different centrality measures being used in predicting noun phrases appearing in the abstracts of scientific articles. Our experimental results show that centrality measures improve the accuracy of the prediction in terms of both precision and recall. We also found that the method of constructing Noun Phrase Network significantly influences the accuracy when using the centrality heuristics itself, but is negligible when it is used together with other text features in decision trees. ...

    pdf6p bunbo_1 17-04-2013 37 2   Download

  • The major obstacle in morphological (sometimes called morpho-syntactic, or extended POS) tagging of highly inflective languages, such as Czech or Russian, is - given the resources possibly available - the tagset size. Typically, it is in the order of thousands. Our method uses an exponential probabilistic model based on automatically selected features. The parameters of the model are computed using simple estimates (which makes training much faster than when one uses Maximum Entropy) to directly minimize the error rate on training data.

    pdf8p bunrieu_1 18-04-2013 29 2   Download

  • Current approaches to the prediction of associations rely on just one type of information, generally taking the form of either word space models or collocation measures. At the moment, it is an open question how these approaches compare to one another. In this paper, we will investigate the performance of these two types of models and that of a new approach based on compounding. The best single predictor is the log-likelihood ratio, followed closely by the document-based word space model.

    pdf9p bunthai_1 06-05-2013 38 2   Download

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