How To Use Classifier In A Sentence
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In practice applications, generic near neighbor classifier was limited for the amount of pattern processing was very large and was difficult to get the best data quickly on line.
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Methods:The decision tree classifier is used as a tool and the rate of classification accuracy is used to measure the consistency.
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To facilitate comparison between Messina and limma results, the rank of Messina's reported probeset classifier margin (a measure of the robustness of the trained classifier) was compared to the log To validate Messina's results, we measured expression of S100A2 protein by immunohistochemistry upon a separate patient cohort from that used in the microarray data
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This paper presents a novel double-talk detector ( DTD ) based on ra nearest neighbor line ( NNL ) classifier.
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To learn a classifier, a semisupervised Bayesian approach is adopted. An EM algorithm is derived to compute maximum likelihood estimate. Experimental results demonstrate appropriate accuracy.
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Then the experiment introduced another possible classifier: coalition membership.
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The question which we would submit which has arisen here is how is classification to take place where the classifier is faced with goods which appear to be physically identical.
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(It will require to do the classification only once, and then during subsequent starts of Protégé, the classifier will only load the information precomputed earlier.)
Planet RDF
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It is, however, the sort of book that poses a problem for classifiers: what shelf to put it on?
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They are also developing, optimizing, and validating neural network classifiers so that cancer can be more accurately classified and therapy can be personally tailored for optimal response.
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The objective of this article is to describe several of the more widely used machine learning classifiers that may have utility when used with empirical population genetics data.
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The fundamental algorithm associated with these taxonomic logics is a classifier which inputs a system of definitions and outputs the entailment relations between defined and primitive concepts.
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To learn a classifier, a semisupervised Bayesian approach is adopted. An EM algorithm is derived to compute maximum likelihood estimate. Experimental results demonstrate appropriate accuracy.
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According to press reports, an initial panel of classifiers was prepared to release the film.
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The numeral plus classifier can be used in a pronominal sense.
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To learn a classifier, a semisupervised Bayesian approach is adopted. An EM algorithm is derived to compute maximum likelihood estimate. Experimental results demonstrate appropriate accuracy.
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Methods:The decision tree classifier is used as a tool and the rate of classification accuracy is used to measure the consistency.
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Decision tree classifier is an important data mining problem. The key issue in constructing the decision tree on data streams is to derive the best criterion of internal nodes.
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On the other hand, a nonlinear classifier might give a better classification result even though extra caution needs to be exercised to avoid overfitting data with superfluous biomarkers.
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Minimum distance classifier based on between-class and within-class scatter is proposed.
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To learn a classifier, a semisupervised Bayesian approach is adopted. An EM algorithm is derived to compute maximum likelihood estimate. Experimental results demonstrate appropriate accuracy.
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For the best feature, we also use the classifier based on KCCA to reclassify it.
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Testing results show that the multi-fault classifier can still correctly classify multiple faults even when data samples include 26% noise signal.
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This would enable them to be trained to the appropriate standard and provide continuity of service when the department classifiers were withdrawn.
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Large-scale unlabeled video samples are assumed to arrive consecutively in batches with an initial pre-labeled training set, based on which a preliminary multi-label classifier is built.
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It makes decisions through its employed classifiers who decide what classification an artistic work should receive before being released to the wider public.
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Language is a classifier without which we feel lost, said Golay.
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He was one of the outstanding naturalists and classifiers of his time; and he had fruitful ideas about evolution.
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A look at a non-western language such as Dyirbal reveals a four-way classification, so that each noun must be preceded by a classifier telling what category it belongs to.
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I know it may not have been intended that way, but the classifier was always used.
Waldo Jaquith - Linwood Duncan quits working for Goode.
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Finally, the minimum distance classifier is used to classify pulsar signals.
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Thus, to run Mahout's classifier, you need to first train the model and then use that model to classify new content.
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We do seem to be habitual classifiers (we do classify things into natural kinds), and we do search for the ‘true nature’ of things in order to better understand them.
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The goal here is to construct one binary classifier or derive one decision function from the available samples that has a small probability of misclassifying a future sample.
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In this high-dimensional feature space, a linear classifier, or nonlinear kernel classifier, is constructed, and the model is used to discriminate samples belonging to two different groups.
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Supervised pattern classifiers with Euclidian Measurement are finally performed for recognition.
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Classifier languages typically dispose of a range of classifiers, which focus on the properties of the instance (perceptual, functional, etc.)
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Experiments result proves that decision tree classifier is a effective classify method.
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Semantic Selection of Noun Phrase to Assemble Classifier " Zu " and " Tao ".
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Google's changes--which include a new document-level classifier, as well as better ways of detecting hacked websites and soliciting feedback from users--take aim at "webspam" as well as content farms--"sites with shallow or low-quality content," in Google's words.
Google Tries To Snuff Out Spam, Content Farms With New Changes
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To respond to that challenge, we recently launched a redesigned document-level classifier that makes it harder for spammy on-page content to rank highly.
Google promises searchers less spam, fewer content-farm results
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Testing results show that the multi-fault classifier can still correctly classify multiple faults even when data samples include 26% noise signal.
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Gene signatures of lung carcinoma prognosis often contain gene classifiers of metastasis in other tumor systems.
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Supervised Multiclass Labeling SML is a new content-based image retrieval program being developed that will have a trainable "classifier".
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The new classifier is better at detecting spam on individual web pages, e.g., repeated spammy words--the sort of phrases you tend to see in junky, automated, self-promoting blog comments.
Google Tries To Snuff Out Spam, Content Farms With New Changes
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Some multiple texture features as the input characteristics for classifier are selected and then fused. Lastly, the neural network is used to realize the separation of coal and gangue.
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“We had a computer learning algorithm on which we built our name classifier.”
In the Plex
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Besides, a decision tree classifier(CART) is used to eliminate the unnecessary variables, and reduces the number of parameters to be adjusted.
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The classifiers systematically created a new beginning or clearing for the new information system.
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Some multiple texture features as the input characteristics for classifier are selected and then fused. Lastly, the neural network is used to realize the separation of coal and gangue.
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We discuss the different parameters and design decisions that normally appear when building automatic classifiers, including, stemming, stop-words, thresholding, amount of data and approaches for improving performance using the structure in XML documents.
Archive 2004-09-12
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A decision tree classifier was applied and a scalar product protocol was added, so that the need of privacy preserving is satisfied as well as the advantage of decision tree is retained.
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A native build system may produce set of jars (merely zip-archive, even it's not necessary to use jdk) for each platform named as mylibrary-native - {$version} - {$platform}. jar containing only dll/so/lib/etc and upload it into maven-repository as artefacts with classifier (it's easy to do even not using the maven).
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The question of whether it can be used to classify lesions using more advanced statistical techniques (e.g., using combined classifiers and linear discriminant analysis) will be answered in a separate study.
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Testing results show that the multi-fault classifier can still correctly classify multiple faults even when data samples include 26% noise signal.
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Then new slides were prepared from the same blood cultures and counted twice by image analysis, employing classifiers A and B, respectively.
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It was to evaluate the experimental result of single classifier using the reliability function, to classify the documents that were hard to be classified by voting.
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The new classifier is better at detecting spam on individual web pages, e.g., repeated spammy words -- the sort of phrases you tend to see in junky, automated, self-promoting blog comments.
Google promises searchers less spam, fewer content-farm results
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One Swiss study examined the question of whether chronic course is a desirable classifier in the diagnostic system of mood disorders.
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An algorithm using unlabeled data to improve the capability of the classifier is proposed. Using this method , the accuracy and efficiency of the IDS are improved.
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A novel nonparametric classifier called NNL classifier is introduced to detect double - talk.
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A new ECG pattern classifier with Variable Area Template is applied to improve the quantity of ECG analysis results, while the optimized software design ensures the other performances.
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For our task, we have chosen 2 very simple classifiers, the decision tree and the Naive Bayes classifier, because they allow easy interpretation of the reasons behind their predictions.
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The convergence of these products is the theme of an international conference in Sydney this week, where censors and classifiers are discussing how to address the challenge of ratings, or if we even need to regulate these products at all.
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Sotho noun classifiers
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To learn a classifier, a semisupervised Bayesian approach is adopted. An EM algorithm is derived to compute maximum likelihood estimate. Experimental results demonstrate appropriate accuracy.
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But to complicate matters, there is the GenderAnalyzer, a software program that uses a text classifier, trained on blogs written by men and women, to determine whether a blog has been written by a man or a woman.
Gender and literature « Write Anything
