# Classifier In A Sentence

We found 68 sentences of 'Classifier' to help you understand how to use Classifier in a sentence.

- The
**classifier**in**classifier**relative clauses can only appear head-initially. - Animal is used for kingdom
**classifier**. - 2 The Nave Bayes'
**Classifier**1718. - One of the most difficult points in Chinese text automatic analysis is to analyse and disambiguate
**classifier**and phrase containing**classifier**. - NNL
**classifier**has low computation cost and good performance. - The structure and theory of air
**classifier**was analysised. - In addition, it is also a less effective
**classifier**. - In such cases, the
**classifier**should be well-regularized. - A distance
**classifier**has been built up for face recognition. - In designing Web
**Classifier**, this thesis makes use of Vector Space Model to represent the web text, which improves the performance of Bayes**Classifier**. - This set achieves better performance than each basic
**classifier**taken separately. - On the national level, there only needs to be one
**classifier**. - Turbo air
**classifier**is a important style of accurate classifying facilities. - Omitting the noun and preserving the
**classifier**is grammatical and common. - A color based
**classifier**is automatically computed from the control cells. - The
**classifier**design is a key step for pattern recognition systems. - Experiments result proves that decision tree
**classifier**is a effective classify method. - Maximum likelihood
**classifier**( MLC ) is the most used and effective classification method. - How to make the
**classifier**adaptive over time becomes a big issue. - The choice of
**classifier**depends on the semantics of the noun involved. - Decision trees, neural networks, or a naive Bayes
**classifier**could be used. - Constructing an effective text
**classifier**plays a key role in text categorization. - Recognizing small handwritten character set with this new method and constructing an integrated reorganization system with subspace
**classifier**and BP**classifier**are the main objects in this paper. - Pattern recognition
**classifier**design, the source for the K - means, after debugging through. - The full word only includes the pronoun, the number -
**classifier**phrase, the adverb. - Rather than statically declare the subsumption relations in a knowledge-base a
**classifier**allows the developer to simply declare facts about the world and let the**classifier**deduce the relations. - Then a
**classifier**is combined to judge phrases capable of improving the translation quality. - Bayes
**classifier**model is a powerful tool for classifying attack types in intrusion detection. - Bayesian classification and the back of the linear, non - linear
**classifier**belong to supervised learning. - The minimum - distance and neural network
**classifier**are researched on pattern identification in this paper. - The original optimal hyperplane algorithm proposed by Vladimir Vapnik in 1963 was a linear
**classifier**. - Then, using support vector machine
**classifier**to conduct quality classification on speed ratio control valve. - The recognition rates for the handwritten digits and SAR image classification outperform the tradition Bayes
**classifier**. - Then the leakage points were recognized and positioned via weighted minimum distance
**classifier**and neural network. - Moreover, the design procedure of the pattern recognition is presented and the corresponding pattern
**classifier**is established. - When the nouns are used with numerals the appropriate
**classifier**word must be included in the phrase. - A decision-making model and a numerical approach of partner selection were proposed based on multiple
**classifier**fusion rules. - Numeral-noun constructions even exist in these languages which have plentiful individual
**classifier**according to the typological linguistic facts. - In this manner, the overall
**classifier**can be robust enough to ignore serious deficiencies in its underlying naive probability model. - Pointing to the classification problem of Web pages, this paper proposes a classification algorithm combining rough set and Bayes
**classifier**. - The
**classifier**is found in no other language family, although may be present in the Yeniseian family per Vajda ( 2010 ). - Thus, to run Mahout's
**classifier**, you need to first train the model and then use that model to classify new content. - On the design of
**classifier**, by introducing support vector machine, Chinese tone recognition rate is improved under low signal noise rate conditions. - Recognition completes the classification which classifies the above-mentioned character vector by
**classifier**which gets the final result by decision-making function. - It does not have to design the complexity
**classifier**in the traditional recognition algorithm after feature extraction, and simplifies the recognition process. - We have constructed a simple sub domain
**classifier**that is based on a naive Bayesian approach and trained on the available ETD data. - Extracting frequency features of the ship-radiated noise and constructing
**classifier**applied to object classification and recognition is the main contributiqns in this paper. - This paper uses the improved K-means (IKM) algorithm to process the missing data and thus improve the precision of the Naive Bayes
**classifier**. - VTC-90 vertical turbine
**classifier**would bring in a new type equipment featured classification efficiency, stable capability, as well as simple installation and maintenance. - Besided, features like data classification through statistical analysis of trained sentences and native language processor integrated Naive Bayes
**classifier**are claimed to be inspiring. - At last a pattern
**classifier**based on BP neural network is designed to recognize different cracks according to the geometrical shape differences of different cracks. - Second, the spreader stoker is a size
**classifier**of the fuel and the coarser fuel is fed to the rear requiring more time to burn. - Further, a hybrid BP algorithm with dead interval of error is derived for training the neural
**classifier**in order to increase training speed and classification accuracy. - Naive Bayes
**classifier**is a simple and effective classification method based on probability theory, but its attribute independence assumption is often violated in the real world. - Based on fuzzy mathematics theory, an edge-detecting algorithm is presented in this paper by combining fuzzy membership functions of GAP and relative entropy coefficient
**classifier**. - Extracting initial strongly negative data set from positive data and unlabeled data is a base for constructing a PU-oriented text
**classifier**by two stage frame method. - The concept of attribute similarity is presented to solve the weight problem of multi-dimension object classification, and cloud
**classifier**based on attributes similarity is presented also. - Aim at the document image with both Chinese Characters and English characters, this paper present a character segmentation and language discrimination method based on Simple Bayes
**Classifier**. - In imbalanced datasets, where the sampling ratio does not follow the population statistics, one can resample the dataset in a conservative manner called LDA
**classifier**with Gaussian distributions. - Algorithm of target classification based on polarization synthesis is proposed, when it is acted as input value of
**classifier**. Then, polarimetric SAR data is applied to classification experiment. - 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. - 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. - 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. - It was the highlights of the paper that the method combined the explicit features and naive bayes
**classifier**together to identify both of the encrypted and not encrypted P2P traffic. - The invariant moment minimum distance
**classifier**is used to complete the vehicle-logo recognition and the experiment result shows that the accuracy of the object recognition is improved by 20 percent. - The main idea of which consists of three parts:the discriminating feature analysis of the images, the statistical modeling of face and non-face classes, and the Bayes
**classifier**for face detection. - In order to solve the problem existing in training data sets, present Bayes algorithm is im- proved and an algorithm using unlabeled data to improve the capability of the
**classifier**is proposed. - A reliable and valid AUC estimate can be interpreted as the probability that the
**classifier**will assign a higher score to a randomly chosen positive example than to a randomly chosen negative example.

## MORE WORDS:

- Classed
- Claim Jumper
- Be Classified As
- Claytonia
- Claretian
- Cladogenesis
- Claudio
- Chemistry Class
- Lower Middle Class
- Claudie
- Clair
- Classifier
- Clarify
- Classist
- Class List
- Wrier
- Luckier
- Happier
- Pricier
- Hazier
- Naughtier
- Artier
- Zanier
- Fourdrinier
- Grand Vizier
- Staffordshire Bull Terrier
- Huskier
- Avant Courier
- Levier
- Le Verrier