double classifier

Classifier - Weka

double classifyInstance(Instance instance) throws java.lang.Exception. Classifies the given test instance. The instance has to belong to a dataset when it's being classified. Note that a classifier MUST implement either this or distributionForInstance(). Parameters: instance - the instance to be classified; Returns: the predicted...

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Classifier (Stanford JavaNLP API) - Stanford NLP

Evaluates the precision and recall of this classifier against a dataset, and the target label. Parameters: testData - The dataset to evaluate the classifier on. targetLabel - The target label (e.g., for relation extraction, this is the relation we're interested in). Returns: A pair of the precision (first) and recall (second) of the classifier...

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Turbo Twin Double Classifier TTD | HOSOKAWAMICRON ...

The ultrafine Turbo Twin Double Classifier TTD is the first new development from the leading suppliers of ultrafine classifying systems. Developed in 2011, this classifier is second to none when it comes to classifying soft to medium-hard minerals at high throughputs, for example in the production of fillers. The patented...

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Classifier (Mallet 2 API)

cc.mallet.classify. Class Classifier. java.lang.Object extended by cc.mallet.classify.Classifier. All Implemented Interfaces: AlphabetCarrying, java.io.Serializable ... A concrete classifier is required only to be able to classify an instance. Methods for classifying an ... public double getPrecision(InstanceList ilist, Labeling labeling)...

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CoreNLP/Classifier.java at master · stanfordnlp/CoreNLP · GitHub

@return A pair of the precision (first) and recall (second) of the classifier on the target label. */. public default Pair<Double, Double> evaluatePrecisionAndRecall(GeneralDataset<L, F> testData, L targetLabel) {. if (targetLabel == null) {. throw new IllegalArgumentException("Must supply a target label to compute precision...

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Classifier - Deeplearning4j

Modifier and Type, Method and Description. double, f1Score(org.nd4j.linalg.dataset.api.DataSet data). Sets the input and labels and returns a score for the prediction wrt true labels. double, f1Score(org.nd4j.linalg.api.ndarray.INDArray examples, org.nd4j.linalg.api.ndarray.INDArray labels). Returns the f1 score for the given...

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NaiveBayes

NaiveBayes. public NaiveBayes(double[] priori, Distribution[][] condprob). Constructor of general naive Bayes classifier. Parameters: priori - the priori probability of each class. condprob - the conditional distribution of each variable in each class. In particular, condprob[i][j] is the conditional distribution P(xj | class i).

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Plastic pellet classifier from Witte separates off-spec pelletsWitte

Screens removed and replaced quickly and easily; Witte clamp permits instant interior access, easy cleaning; Operators enjoy quiet, smooth, dependable operation; Entire unit may be mounted on casters for portability; Single and double separation models, custom designs available. Witte vibrating plastic pellet classifiers...

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Optimizing the classification cost using SVMs with a double ... - Hal

Jul 1, 2015 ... The objective of this study is to minimize the classification cost using Support Vector Machines (SVMs). Classifier with a double hinge loss. Such binary classifiers have the option to reject observations when the cost of rejection is lower than that of misclassification. To train this classifier, the standard SVM.

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Measures of Diversity in Classifier Ensembles and ... - Springer Link

We have found and studied ten statistics which can measure diversity among binary classifier outputs. (correct or incorrect vote for the class label): four averaged pairwise measures (the Q statistic, the correlation, the disagreement and the double fault) and six non-pairwise measures (the entropy of the votes, the difficulty.

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Classification analysis — CoSMo Multivariate Pattern Analysis ...

During the testing step, the classifier is not allowed to peek at the conditions. Otherwise it could just use those conditions and classification would always be perfect. No double dipping. The training and test set must be independent. In CoSMoMVPA, independence can be indicated by the .sa.chunks attribute. In fMRI data...

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Round Robin Classification - Journal of Machine Learning Research

In the following section, we will evaluate a double round robin as an alternative bina- rization strategy for the rule learner Ripper. 4. Accuracy. In this section, we will briefly present an experimental evaluation of round robin binarization in a rule learning context. We chose Ripper (Cohen, 1995) as the base classifier, which—.

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An analysis of diversity measures

Jan 5, 2005 ... understanding of the concept of diversity, and hence can help design better ensemble learning algorithms. Keywords Classifier ensemble . Diversity measures . Margin distribution . Majority vote . Disagreement measure . Double fault measure . KW variance . Interrater agreement . Generalized diversity .

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Scene text detection via extremal region based double threshold ...

Aug 18, 2017 ... A discriminative convolutional neural network (CNN) is jointly trained with multi-level information including pixel-level and character-level information as character candidate classifier. Each image patch is classified as strong text, weak text and non-text by double threshold filtering instead of conventional...

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Classification and regression - Spark 2.3.0 Documentation

Binomial logistic regression. For more background and more details about the implementation of binomial logistic regression, refer to the documentation of logistic regression in spark.mllib . Examples. The following example shows how to train binomial and multinomial logistic regression models for binary classification with...

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Classifier Systems and Noun Categorization Devices in ... - language

This article will deal with noun categorization devices in Burmese, including the well-known numeral classifier system. It will start by a brief review of typological studies on classifiers, before focusing on the studies done especially on Burmese classifiers. Then, in a second section I will present a summary of the features and...

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Reduce size of support vector machine (SVM) classifier - MATLAB ...

SVMModel is a ClassificationSVM classifier. Reduce the size of the SVM classifier. CompactSVMModel = compact(SVMModel). CompactSVMModel = classreg.learning.classif.CompactClassificationSVM ResponseName: 'Y' CategoricalPredictors: [] ClassNames: {'b' 'g'} ScoreTransform: 'none' Alpha: [90x1 double] Bias:...

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hosokawa-alpine.de: TTD - Air classifier

High fines yield and maximum fines capacity, with a single classifer wheel; Superfine powders in the range of d97 = 3 µm bis d97 = 45 µm; Classifying wheel supported in bearings on both sidesSichtradlagerung; Double flooded fine material outlet; Optimized feedmaterial supply direct to the classifier wheel; Compact and...

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1.4. Support Vector Machines — scikit-learn 0.19.1 documentation

For LinearSVC (and LogisticRegression ) any input passed as a numpy array will be copied and converted to the liblinear internal sparse data representation (double precision floats and int32 indices of non-zero components). If you want to fit a large-scale linear classifier without copying a dense numpy C-contiguous...

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MulticlassSupportVectorMachine Class - Accord.NET Framework

One-against-one Multi-class Kernel Support Vector Machine Classifier. ... public class MulticlassSupportVectorMachine : MulticlassSupportVectorMachine<IKernel<double[]>>, ICloneable ... Item[Int32, Int32]. Gets or sets the inner binary classification model used to distinguish between the given pair of classes. (Inherited...

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Data preparation

After you create, train, and query an IBM Watson™ Natural Language Classifier with the data in the Getting started example, you will want to create a classifier that works with your own data. ... Always enclose text or class values with double quotation marks in the training data when it includes the following characters:.

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Atlantic Design Classifiers | Atlantic Design, Inc.

Click To Enlarge; Approved access platform optional; Double Dump discharge valve optional to load into sacks or dumpsters; Puker transfer option to transfer recycled grit into storage hoppers or blast pots. Combo Classifier Features: · Print Data Sheet. One piece concept design with integrated dust collector; Airwashes,...

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A hybrid ensemble method based on double ... - IOS Press

Abstract. Microarray data has small samples and high dimension, and it contains a significant amount of irrelevant and redundant genes. This paper proposes a hybrid ensemble method based on double disturbance to improve classification performance. Firstly, original genes are ranked through reliefF algorithm and part of...

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Evaluation of Classifier Performance for Multiclass ... - MDPI

Jun 21, 2017 ... Over the baseline scenarios and prior-to significance filtering, sPLS-DA exhibited a lower misclassification rate than the remaining techniques (Median 소 Interquartile range: 5.0% 소 25.0%). Naïve bayes classifiers demonstrated the second lowest misclassification rate (Median 소 Interquartile range: 8.3%...

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moa.classifiers.bayes.NaiveBayesMultinomial - MOA: moa ...

Public Member Functions. String, getPurposeString (). Gets the purpose of this object. void, resetLearningImpl (). Resets this classifier. void, trainOnInstanceImpl (Instance inst). Trains the classifier with the given instance. double[], getVotesForInstance (Instance instance). Calculates the class membership probabilities for the...

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Dewatering Screw Classifiers - 911 Metallurgist

Jan 9, 2018 ... The impossibility of preparing clean, leachable sand and sand-free slime from an irregular feed of varying ore by double-cone classification led to the invention of the original Dorr classifier at the Lundberg, Dorr, and Wilson mill at Terry, S.D., in 1904. Mechanical screw dewaterers had been used before this...

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Alpine TTC Turbo Twin Air Classifier | Hosokawa Micron Powder ...

The Alpine TTC Turbo Twin Air Classifier is high efficient and reliable particle size separation system that uses a patented geometric classifier wheel designed for high yields and narrow particle cut points. The classifier wheel is able to achieve tip speeds up to 120 meters/second. Superfine powders in the range of down to...

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Double-cone Classifier - Molaris

Categories. Dry, soft and non-plastic products · Dry, medium hardness and agglomerate products · Low moisture, soft and agglomerate products · Dry and medium hardness products · Medium moisture, fibrous, agglomerate and foodstuffs products · Very hard and high moisture products · Granulation · Classification...

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Unification of Numeral Classifiers and Plural Markers: Empirical ...

example, with a double-headed classifier construction. This study thus adds merit to the unification of C/PM and concludes with its implication on a universal lexical count/mass distinction. 1 Introduction. Greenberg (1972) and Sanches and Slobin (1973) made the initial observation that languages with obligatory numeral...

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machine learning - WEKA classification likelihood of the classes ...

classifyInstance(testInstances.instance(i)); // Get the predicted class label from the predictionIndex. String predictedClassLabel = testInstances.classAttribute().value((int) predictionIndex); // Get the prediction probability distribution. double[] predictionDistribution = classifier.distributionForInstance(testInstances.instance(i));...

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PrecisionRecallEvaluation (LingPipe API)

recall. public double recall(). Returns the recall. The recall is the number of true positives divided by the number of positive references. This is the fraction of positive reference cases that were found by the classifier. Returns: The recall value.

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Analysis of Different Classifier for the Detection of Double ... - IJARIIT

aggregated and classified by either UBM-GMM or SVM or Bayesian classifier . When comparing and analyzing these three classifier the SVM and Bayesian classifier shows high degree of accuracy for detecting the authenticity of an audio . Keywords: Adaptive Multi-Rate, Double Compressed Audio, Stacked Autoencoder,...

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Updated Gene-Classifier Test Pinpoints Benign Thyroid Nodules

Oct 30, 2017 ... VICTORIA, British Columbia — A multicenter, double-blind clinical study on the latest-generation ThyroSeq version 3 (University of Pittsburg/CBLPath) gene-classifier test validates its high negative predictive values (NPV) in identifying thyroid nodules of indeterminate cytology, potentially sparing patients...

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Multiclass Classification - MIT

Or, we need subsets where even though we're assigning positive values to some incorrect class, we're assigning even more strongly positive values to the correct classes. Challenge: Come up with a set of examples that actually has this property. Double challenge: Have it hold when the kernel is a properly-tuned Gaussian...

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13-MC-0639.Sand Manager Classifying Tanks - McLanahan

For The Twin Classifying Tank, Water Capacity. Is Doubled. ... TWIN TANKS. FOR USE IN HIGH WATER-VOLUME APPLICATIONS SUCH AS DREDGING, THE PARALLEL TANKS. DOUBLE WATER CAPACITY WHILE THE ... For proper sand classification, we recommend 8 to 10 USGPM for every 1 TPH of sand feed.

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Chinese classifier - Wikipedia

These two types are alternatively called count-classifier and mass-classifier, since the first type can only meaningfully be used with count nouns, while the second is used particularly with mass nouns. However, the grammatical behavior of words of the two types is largely identical. Most nouns have one or more particular...

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Exploiting Shared Information for Multi-intent Natural Language ...

ple, the double intent buy game#play game is certainly not en- tirely different from buy game#play music or the single intent buy game. The words and phrases that people use to express the intent buy game usually appear in all these classes, making it possible for us to improve the performance of the classifier by.

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Classification of Materials and Types of Classifiers | ispatguru.com

Oct 31, 2015 ... Basically the different wet classifiers are gravity settling tank, cone classifier, double cone classifier, hydrocyclone classifier, spiral classifier, and rake classifier. Gravity settling tank is the simplest type of classifier. Here the separation is based on the influence of gravity and terminal falling velocity. Slurry with...

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Twin Classifier - roto-sieve

Apr 3, 2014 ... Twin classifiers from Lackeby Products are designed to separate both settled and floating particles from water. The robust design underpins high reliability and a long technical service life, while maintenance requirements are minimal.

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Using Object Classifier in NIS-Elements

other useful tools in the main Object Classifier dialogue. Counts are now displayed per class. The double arrow can be used to refresh the counts, for instance when another image of the same type (and threshold settings) is opened. Remember that a binary layer must exist for the objects to be classified and counted.

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