classifier

Classifier measure word is one of the characters of Chinese. Up to now, we know not enough about its history.

This article introduces the design of a dynamic text classifier which can be applied to Chinese character input method program.

Pointed out that the concept of knowledge, general classification algorithms and support vector machine classifier.

Experimental results show that the constructed kernels used with an SVM classifier perform better than the existing sequence-based methods.

With an Euclidean distance based classifier, each nonoverlapping window of the texture image is then assigned to its corresponding category.

Finally, eigenvectors are fed into a fuzzy classifier for the identification of defects classification.

Bayesian network classifier is one of the main research methods in data mining and KDD domain.

Finally, the classifier has high performance and its prediction accuracy is up to 85% by test.

To have the collection use the auto-classifier, it needs to be associated with the new text analysis engine.

If the target classifier is of type class (or a subtype of class), the realization relationship hierarchy will also be traversed.

Experimental results show that the new classifier model speeds up the test speed and improves the classification accuracy.

This means that LV Classifier produces preferable product size distribution as shown in attached page.

A classifier is the basic method in the data mining, and a decision tree is one of the most important classifiers.

A given port can be contracted to provide any number of provided or required interfaces and a classifier may have any number of named ports.

A 3D feature is extracted from the accumulation and main motion orientation, and a Bayesian classifier is used for smoke detection.

This paper studies the human face detection by support vector classifier using histograms of color, color edge and its orientation.

In Mandarin Chinese, event classifier is an important component of the system of classifiers.

The progress of imaging spectral data classification is reviewed from its two aspects including feature extraction and classifier design.

Fuzzy classifier is used to detect the word boundary with high precision in noisy environment.

The roller-type classifier was devised in light of the grading demand for walnut, hazelnut and hawthorn fruit.

What problem am I trying to solve? I need to make sure that my number classifier doesn't identify an imperfect number as perfect.

Furthermore, the experimental results show that the classifier presents a new method for the EMG control of the multi-DOF prosthetic hand.

Numeral-classifier compound is one of important characteristics in the Sino-Tibetan.

A material classifier for classifying a liquid-solid mixture containing solid material to be separated is provided.

WNN can be seen as a classifier to distinguish the corrupted or uncorrupted pixels from others in both approaches.

The proposed algorithm updates the sample weights via the proposed processes and achieves a more efficient and accurate AdaBoost classifier.

The experimental result shows that the SVM classifier can be applied in stratum recognition effectively, and then widely used in the future.

Through the comparison of the operation principles and the characteristics of the hydrocyclone with the spiral classifier.

This paper regards decision tree as basic classifier, and introduces the least square technology for linear fusion.

preprocessing and feature extraction are important stages in character recognition system , related closely with the classifier precision.

With the combination with a Support Vector Machine, we design and implement the improved text classifier.

The last topic is about a trainable object detection system using at its core a Support Vector Machine classifier.

The ability to set classifier-inherited operations for messages is now easier and more convenient, too.

The target classifier is an important composition of the underwater target recognition system.

The invention is characterised by keeping the relative humidity of the classifier air in the air classifier in a range between 15% to 35%.

The classification of the document model, using Bayesian classifier, can dynamically adjust the parameters of feedback devices.

Support Vector Machines via a decision boundary optimization, has proved is an excellent classifier in the model recognition.

Finally, The algorithms of principal curves and knowledge are used to extract the structural features of digits and design a classifier.

Bayesian network classifier has good capability to handle problems with high uncertainty, and is fit for customer modeling in CRM.

ECO-AL does not need two sufficient and redundant views, and can use a variety of ensemble methods and the base classifier algorithm.

The effectiveness of classifier combination and the problem of best combination both have to be solved.

The work capitalized on public hand-classified network dataset and used it to train and tested the supervised SVM traffic classifier.

A one-class classifier is fitted to detect the "ill-represented" data objects by enclosing all "good" data objects in a hypersphere .

Among, the classifier is designed by the nearest neighbor algorithm and trained based on the pulmonary nodules in LIDC as the sample data.

"Provided interfaces" characterize requests to the classifier that its environment may make through the port.

In the To-Be version of the process, the classifier changed to show that the process now applies workflow.

Any classifier (class, component, and so on) may act as the consumer of a service, and that includes another service.

Then a classifier is combined to judge phrases capable of improving the translation quality.

The air from the classifier bag filter will be sent either to the chimney or partially or totally recycled to the classifier air inlet.

Based on this algorithm, an automatic English text classifier was designed, and the system test and result analysis were made.

This article also explains an easy method to set classifier-inherited operations for messages.

Moreover, to ensure high accuracy of ensemble, we test performance of ensemble when a classifier is added to ensemble .

And multiple classifier fusion technique is simultaneously studied to identify the focuses of the mammograms.

RBF network with high generalization is a good classifier, especially for larger number of samples.

The lollipop interface shape is connected to non-classifier shape on the drawing page and will not be replaced.

the stability of its overflow fineness is slightly lower than that of the spiral classifier.

This paper adds mutation operator to adaptive PSO and apply it in the lymphoma morphology parameter classifier problems.

Semi-supervised learning - Combines both labeled and unlabeled examples to generate an appropriate function or classifier.

Comparing with Evolutionary Particle Swam Optimization, the classifier fastens the convergence rate.

Minimum distance classifier is a simple and effective classification method.

When we describers the classifier, firstly, we explain how these Ontologies can be built in a modular fashion, and mapped into DDC and LCC.

BP neural network was med as classifier in the model and its parameters were optimized ac cording to experiments.

These instantaneous frequencies are taken as the input pattern to train the Neural Network classifier.

We integrate the genetic algorithms with BP neural network and design a genetic based backpropagation neural network classifier.

Taking the example of designing classifier in intrusion detection system, the selection of training samples for classifier is studied.

Finally, we use new samples to test and compare the performance of the original neural network classifier with the one after optimization.

The experimental results show that the classifier has higher accuracy and the classification is effective and feasible.

Experimental results show that Bayes classifier is suitable for the transformer fault diagnosis.

Classifier system is an important characteristic in Chinese grammar.

Then the leakage points were recognized and positioned via weighted minimum distance classifier and neural network.

Each port is named uniquely with respect to its owning classifier.

It allows you to show how a class or another classifier is internally composed .

Results show that the decision tree classifier can achieve higher classification accuracy.

Learning classifier: color represents an instance of the RGB color space conversion to CIELAB color space.

Then we use combination classifier to judge which phrases can improve the quality of the translation results.

controll in an indirect way the grinding concentration and the overflow particle size of spiral classifier.

Schapire proved that, if the number of integrated PAC classifier, it will have PAC strong classifier generalization.

the Bayesian classifier is optimal with respect to minimizing the classification error probability.

Finally, weighted Euclidean distance classifier was utilized in recognition.

In this paper, a nonlinear robust classifier (MFRC) is presented; it puts the advantage of fuzzy clustering together with fuzzy reasoning.

Automatic urine sediment classifier has significant influence on clinic urine analysis.

By setting classifier property to classes we define which artifact has to be chosen from the repository.

then, we design the classifier using BP, and train it effectively; finally, this BP classifier can recognize the test samples.

Thirdly, Learning Classifier System is applied to multi-robot system.

A fresh air inlet with damper will also be included in the classifier air circuit.

Previous versions of the sequence diagram editor allow you only to select classifier-owned operations.

At last, simply introduces the implementation by coding for this dynamic text classifier.

We conclude that the perceptron act not only as a classifier, it performs classifier with gradient feature.

The differences between these two versions of the classifier are subtle but important.

Integration of multiple classifier machine learning system is currently a hot research field.

The differences between these two versions of the classifier are subtle but important.

Integration of multiple classifier machine learning system is currently a hot research field.

Finally, this paper trains a text classifier with these positive documents and unlabeled documents.

In UML 2 the subsystem classifier is a specialized version of a component classifier .

Thus, to run Mahout's classifier, you need to first train the model and then use that model to classify new content.

Mechanical screen classifier keeps the media sized and clean for more precise and consistent processes.

And finally, this paper trains a text classifier with these positive documents and unlabeled documents.

It provides reliable rule and assurance for the usage of centrifugal air classifier in practice.

The classifier design is a key step for pattern recognition systems, which can effect performance of system.

In fact , a classifier is a more general concept , which includes data types and interfaces .

The simulation results show that the speed of Learning Classifier System is improved.

It shows by experiments that the classifier designed by these algorithms has a high accuracy and strong real-time ability.

Finally, nearest neighbor classifier is selected to perform face recognition.

That list contains the owned and inherited operations of the target classifier.

When the method sets address classifier, the terminal nodes participate in it selectively.

In the second installment of this series, I constructed a number-classifier example using the Functional Java library (see Resources).

As the user refines the search, each click is fed back into the classifier.

The local classifier works in query's neighborhood, and the neighborhood is developed according to a local metric.

The SVM classifier's low error rate of classification offers a better base for the trust region algorithm.

It uses eye classifier to filter red areas in photos and to get red-eye areas, and expands red-eye areas to contain eye contours .

Today's rock powder processing gives out serious particle pollution, which is resulted from low collection efficiency of cyclone classifier.

This paper takes Naive Bayes Classifier as an illustration to describe how to construct a prediction module in detail.

The particle swarm classifier is designed for radar target recognition in remote images.

Their interaction brings up the abundant use of "one classifier for multiple objects" .

TAN classifier extends the structure of Naive Bayes classifier by adding augmenting arcs that obey certain structural restrictions.

These methods take more than enough labeling samples for study, so as to establish classifier to label unknown samples.

The first approach is a simple Map-Reduce-enabled Naive Bayes classifier.

The uploaded Support Vector Machine (SVM) Classifier can classify text-type data well.

The paper mainly researches a traditional classifier: support vector machine (SVM) which is diffusely used in recent years.

Based on wavelet analysis of signal characteristics, distributed multi-SVM classifier is utilized to identify the power supply line fault.

The working principle and structure characteristics of VTC-90 vertical turbine classifier were analyzed.

According to above feature fusion, similarity classifier is used to achieve an English Character recognition system with high performance.

Labeled samples by this algorithm can directly be used as the classifier training samples, saving lots of time and system resources.

The collaboration is shown using the classifier notation (a partitioned rectangle), rather than the dashed ellipse notation.

Conclusion: The use of classifier to verify the consistency of discriminating "zheng" is a practical method.

The first type of rule you normally create is a classifier which will group users into classifications.

In fact, a Fragment can be defined at the UML classifier or diagram level.

A design measure to this fine particle classifier was then proposed.

The result shows that when the classifier works in normal state, the inner cavity flow field obeys the rule of intense turbulent flow.

The AdaBoost method is realized by multi-classifier Cascade structure.

Then, the classifier with multi-class support vector machines of DDAG (decision directed acyclic graph) is given.

In addition, with the different positions of Hdd in numeral-classifier phrases, the subjectivity expressed in "Hdd" will be different.

The target input pin represents the target object to which the action request is sent (for example, the classifier that owns the operation).

This makes possible to separate coarse material and fine material before the gas comes into Classifier rotor.

Classifier networks are becoming the basis of machine vision systems.

Firstly, the bottleneck of actual Bayesian expert system classifier was identified according to the process analysis.

Generally, the mere use of the maximum likelihood classifier cannot better solve these problems.

For the problem of classifier selection, it can be solved by optimization methods in which the criteria function plays a key role.

The closed loop system which composed by ultrafine pancake jet mill and ultrafine centrifugal air classifier has been set up.

We emphases discussed the nearest neighbor classifier and support vector machine (SVM) based on the statistical study theory.

The phenomenon of "one classifier for multiple objects" is found in both Chinese and English.

The nearest Chernoff faces classifier is proposed based on the idea of the Chernoff faces and the nearest mean classifier.

When you click Classifier , a list of available classifiers appears.

However, as a kind of supervised classifier, SVM can't automatically extract feature in the image.

Finally, the minimum distance classifier is used to classify pulsar signals.

Using the designed WNN as classifier of Radar Target Recognition, good recognition effect is achieved.

The agents use classifier systems to choose appropriate rules.

One- class classifier is currently a hot spot of pattern recognition field.

Based on it, some useful features were selected and employed to train a maximum entropy classifier for semantic role labeling.

In this paper, artificial immune memory classifier is used to research such problem.

The second classifier tries to enhance the performance of the first classifier.

Recapping the classifier's requirements: Given any positive integer greater than 1, you must classify it as perfect, abundant, or deficient.

It is highly efficient and energy saving, to gradually replace spiral classifier.

judging the suspicion message by using the method of combination of Naive Bayesian classifier and support vector classifier.

Classifier - Defines classifications that a user will be categorized within if given conditions hold true on user attributes.

In addition, the detail of classifier design about multi- normality distribution attribute is given.

However, traditional supervised learning techniques typically require a large number of labeled examples to learn an accurate classifier.

In the first tier, we adopt the traditional image classifier to classify video frames.

In pattern recognition, a fuzzy classifier is designed.

A novel license character recognition method based on the nearest feature line (NFL) classifier is presented in this paper.

Another enhancement made in these Rational software products is the ability to easily set classifier-inherited operations for messages.

Handling of classifier-inherited operations is also easier.

The classifier based on machine learning is an effective judgment method of the anomaly caused by network attacks.

Absrtact: An augmented naive Bayes classifier of Bayes classifier family is studied in this paper.

It votes the predictive results of basic classifier, and then takes the voting results as training data of level-1.

In this paper, a new approach to segmenting flame images in kiln based on multiple BP network classifier combination is proposed.

This thesis tries to explain the meaning and the method of use of the so-called individual classifier from the new angle.

Because of uniformity of material flow into LV Classifier from Fluidizing Bed. Wear rate becomes smaller for each machine component.

Membership function and classifier based on the fuzzy pattern recognition have been developed. 4.

For the best feature, we also use the classifier based on KCCA to reclassify it.

The Binding rule: We will create the GetCustomerNews binding rule, which ties the classifier and action rules together.

Click the icon in the top left to add a new classifier.

How to leverage the special characteristic of the vertical search engine to implement the dynamic classifier. 3.

Minimum distance classifier based on between-class and within-class scatter is proposed.

When it is used between ball mill mated with magnetic liner and classifier, the underflow ratio and grinding efficiency are increased.

Once I have extracted this class, I can refactor both the functional classifier and prime-number tester to use it.

Listing 1 shows what a simple document classifier might look like.

Analysis of Short Time Usage of the Chinese Verbal Classifier "Hui"

We introduce a method of CS sub-layer classifier.

So a new Bayesian model mixed tree augmented Naive Bayes classifier(MTANC) based on the rough set theory is presented.

In the experiments, the one-class classifier acquires 100% detection rate and 4. 9% false alarm rate for sequences of system calls.

If you don't need to specify the number you can skip the classifier.

Finally, test data sets and forecasts by using the classifier.

The classifier is based on vector space model and categorize dynamic text stream which is typed by user from keyboard.

There is a word used several times in the Chinese words and between nouns, said units of something, usually called it "the classifier" .

The test results show that the identification rate is 98. 7% when using J48 classifier.

This paper presents a multiclass neural network classifier to learn disjunctive fuzzy information in the feature space.

Note: UML 2. 0 introduces a new classifier, the Collaboration.

In UML a classifier (e. g. , class or actor) can have any number of ports.

The Classifier rule: We will create the UserLevel classifier rule, which classifies the user based on the balance in theiraccount.

On this basis, classifier is made in order to separate the docking aircraft from other moving objects.

BP neural network based on sensitivity analysis is used as base classifier to learn the subsets and redundant genes are further removed.

After getting the feature set, uses cover algorithm as a text classifier to study.

Improving Tropical Cyclogenesis Statistical Model Forecasts through the Application of a Neural Network Classifier

In the second installment of this series, I presented a functional version of the number classifier in Java, shown in Listing 6

Chinese Traditional Medicine Identification Classifier Using Corresponding Relative Distance Computing and Genetic Algorithm

The Flow Field Analysis and Performance Study of the Air Turbo Classifier

rotary classifier; similarity modeling; flow field measurement; classification performance flow resistance;

Improving radar observations of precipitation with a Meteosat neural network classifier

The semantics characteristic of the movement class classifier may divide into [ movement endurance], [ event integrity] two kinds;

The effect of frequency spectrum of the eddies of turbulent flow in a turbo classifier on its classification characteristics

Application of Interaction Between Classifier and Its Correlate in Chinese Phrase Disambiguation

The Cognitive Interpretation for the Grammar Characteristics of the Individual Classifier in Modern Chinese

The Nonlinear Principal Poly Line Classifier and its Application to Classify Hyperspectral Remote Sensing Image

Learning Classifier System and Its Application to the Aerodynamic Shape Optimization of Reentry Vehicle

intelligence classifier; optimal method; small sample size problem; face recognition; artificial intelligence

A Contrastive Study of Mode of Quantity Expression in Chinese and English From Numeral Classifier Viewpoint

The Flow Field Analysis and Performance Study of A New Air Classifier

Study of Video Semantic-concept Classifier with Multi-normal Distribution Attribute

Second order sufficient condition for optimization problem of a linear support vector classifier

Application of a Multi - classifier Fusion Method in Aquatic Target Recognition

Maximum Scatter Difference Classifier and Its Application of Text Categorization

Fuzzy Neural Network Classifier for Fast Evaluating the Quality of Chinese Traditional Medicine Products Using Near Infrared Spectroscopy

Multi-Classifier Application and Improved Method Research in the Land Evaluation

Analysis and exploration of the classification theory and efficiency on centrifugal classifier

Design of a new type integrated classifier for network intrusion detection system

Content-Based Image Classifier Realized by Conditional Class-Entropy Constrained Soft Competitive Learning

Estimating the Generalization Performance of Polynomial SVM Classifier for Text Categorization

Effects of the Operation Parameters on the Air Classifier Performance

Particle size analysis; size analysis by air classification with centrifugal counterflow classifier

then mutually high-order independent ICA features are used to train a support vector machine classifier;

Combining methods and diversity measures in multiple classifier systems for thematic classification of landsat TM images

Energy Consumption Calculation and Analysis of the Roller Press Combined Grinding System in Front of the Air Flow Classifier

The Comparative Study of English and Chinese Classifier Measure Words

Classification of Subject-predicate Sentence Which Includes Numeral-classifier Phrase as Predicate

Effect Analysis of Turning the Primary Classification Equipment From Double-spiral Classifier to Hydrocyclone

Analysis of Characteristics and Performance of the Centrifugal Classifier

Application of the Hydrocyclone Replacing the Spiral Classifier in the Concentrator of the Zhongshan Mine

Application of maximum likelihood classifier to the abstraction of vegetation information

The Research of the New Superfine Powder Air Classifier and its Application

The dust collected by the classifier filter will be the qualified product, which will be transported to the cement silos

Realization of the RBF Network Classifier and Its Application

Design of a Marrow Cell High Spectrum Microscopic Image Classifier

Research on Handwritten Chinese Character Recognition Using Feature Fusion and Modular RBF Classifier

An application of vegetation classification in Northwest Yunnan with remote sensing expert classifier

Material coefficient automatic correction system of yarn defect classifier controlled by single chip microprocessor

Genetic based nearest neighbor classifier and its application

Control method for classifying selectivity of tiltable plate classifier in wet closed circuit grinding of phosphate rock

Research on the Structure Optimization and Separating Characteristics of Axial Classifier

Research on the DMC algorithm applied to the overflow concentration in the classifier

Weighted Combination Random Classifier of High Spectral Remote Sensing Image: Design and Application

Recognition of Heart Rate Variability Signal Using Fuzzy Associative Memory Pattern Classifier

Classification mechanism of centrifugal rotor classifier

Constructing classifier of neural networks using improved genetic algorithms

Application of Immune Negative Selection Classifier in Information Retrieval

Synthetic Evaluation Method Based Support Vector Classifier and Regression Machine

Classifier Combination and Its Application

Study on Application of a New Superfine Powder Fluidic Classifier

Applying Fuzzy Neural Network Classifier to Knowledge Management in Enterprise Modeling

Effect of airflow pre-dispersion on classification performance in a turbo air classifier