1 Replacing a classifier a cyclone in classification a tendency.

2 The structure and theory of air classifier was analysised.

3 A neural network classifier combination method is introduced in this paper and applied to handwritten numeral recognition.

4 A decision tree classifier is used to deal with the first task, which can find the load pattern preliminarily, and reduces the number of parameters to be adjusted.

5 A novel nonparametric classifier called NNL classifier is introduced to detect double - talk.

6 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.

7 It does not have to design the complexity classifier in the traditional recognition algorithm after feature extraction, and simplifies the recognition process.

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

9 A distance classifier has been built up for face recognition.

10 An intelligent pattern classifier with B-P neural network is used in recognition of those five kinds of AE signals successfully.

11 Then, using support vector machine classifier to conduct quality classification on speed ratio control valve.

12 The classifier can be used for classifying powders of micron or submicron size.

13 Using these features and the minimum distance classifier, an accuracy of 88.6% is reached in a statistical data analysis of 44 subjects.

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

15 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.

16 The parameters in the classifier are tuned automatically by minimizing error functions through gradient descent.

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

18 When the nouns are used with numerals the appropriate classifier word must be included in the phrase.

19 Thousands of plants and animals reveal a close fit between the divisions revealed by genes and the groups long used by classifiers.

20 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.

21 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.

22 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.

23 The thesis researches an algorithm based on decision tree classifier for packet filtering.

24 It finds that there exist reduplication and non-reduplication in adjective, verb, noun, classifier, onomatopoetic, and no reduplication in numeral and adverb.

25 In the system, effective pruning algorithm and useful features are adopted for Chinese dependency tree, semantic role identification and classification are exploited by a maximum entropy classifier.

26 Pointing to the classification problem of Web pages, this paper proposes a classification algorithm combining rough set and Bayes classifier.

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

28 The tangential velocity distribution in the annular region of a turbo air classifier was investigated by laser doppler velocimeter(LDV).

29 The test result shows that after the extraction of PCA, the SVDD classifier distinguished the normal and fault condition finely, and it also has good recognized ability to unknown fault samples.

30 A new iris recognition algorithm based on K - L transform and nearest neighbor classifier is proposed.

31 An improved design method on pattern classifier based on multi-layer perceptrons (MLP) by means of minimum classification error (MCE) training was proposed.

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

33 The traditional statistical classifier is suitable in making RS image classification in normal distribution and unsuitable in doing with the data in discrete distribution, such as the geographic data.

34 Bayesian classification and the back of the linear, non - linear classifier belong to supervised learning.

35 A decision-making model and a numerical approach of partner selection were proposed based on multiple classifier fusion rules.

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

37 This paper uses the improved K-means (IKM) algorithm to process the missing data and thus improve the precision of the Naive Bayes classifier.

38 This paper presents the application of a recently-developed pattern classifier called support vector machine(SVM) in expressway incident detection.

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

40 Besides, a decision tree classifier(CART) is used to eliminate the unnecessary variables, and reduces the number of parameters to be adjusted.

41 To improve the precision of remote sensing image classification,(http:///classifier.html) this paper proposes hybrid multi - classifier combination method.

42 The property and applicable range of each model is analyzed, and the Pattern classifier is also designed with respect to each model.

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

44 The turbo air classifier is very important dry - state classification equipment.

45 Naive Bayes classifier is a simple and effective classification method. Classifying based on Bayes Technology has got more and more attentions in the field of data mining.

46 The paper briefly introduced the concept of privacy preserving data mining technology and studied the application of decision tree classifier in this particular field.

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

48 Aiming at improving the classification performance, a combination model of multiple classifier systems is presented, which takes the Sum rule and majority voting as its special cases.

49 An improved BP neural network classifier is used to recognize CD4 cell images in this paper.

50 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.

51 The effect of time delay unit number on classification precision and the performance of TDNN classifier using three typical aircraft dark room data measured with scale model were studied.

52 Bayes classifier model is a powerful tool for classifying attack types in intrusion detection.

53 Extract 21-dimensional statistical characteristics of histogram characteristic function (HCF) field, training classifier with the support vector machine (SVM).

54 Closed-set text-independent speaker identification experiments with 20 speakers are conducted using a GMM classifier.

55 Since most neighborhood association can be used as a classifier, and can store any simulated vector mode.

56 Its advantage is to implement a nonlinear classifier using a simply iterative procedure and kernel functions.

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

58 With this classifier, real field data can be classified to different class libraries.

59 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.

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

61 Study on classifier began comparingly late, and been ignored for its simple form during the period of formal grammar.

62 This paper presents a novel double-talk detector ( DTD ) based on ra nearest neighbor line ( NNL ) classifier.

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

64 Moreover, the design procedure of the pattern recognition is presented and the corresponding pattern classifier is established.

65 Minimum distance classifier is a simple and effective classification method.

66 VTC-90 vertical turbine classifier would bring in a new type equipment featured classification efficiency, stable capability, as well as simple installation and maintenance.

67 Many constructional particles in Chinese dialects seem to be originated from their classifier uses.

68 One of the most difficult points in Chinese text automatic analysis is to analyse and disambiguate classifier and phrase containing classifier.

69 Let the nature data structures as inputting for the classifier of the face classification.

70 TAN(tree augmented Nave Bayes) takes the Nave Bayes classifier and adds edges to it, it is efficient extend of Nave Bayes.

71 The key of Off - line handwritten character recognition are feature extract and classifier design.

71 try its best to gather and create good sentences.

72 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.

73 When a document was classified, the result was created by the HMM classifier which could get the greatest generation probability according to the document.

74 NPA is currently one of the best training algorithm for support vector machine classifier.

75 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.

76 The intelligent pattern classifier and its realization techniques are discussed according to the classing process in a computer control combined tea-stalk reject system.

77 Firstly, normalized color intensity values are selected as character vector of neural networks, LVQ neural networks classifier is applied to solve this problem of recognizing the road and non-road.

78 Rough set and Bayes classifier were integrated in virus detection.

79 The algorithm of discrete Bayes classifier is proposed. Then, formulas for estimating classifying error of Bayes classifier are deduced.

80 An MSS spectral form correlation model and a histogram decision tree classifier are presented.

81 This paper presents an efficient automatic categorization system for Chinese journals based on Bayes classifier.

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

83 Firstly, B-spline function is used as fuzzy membership function and a noise classifier using fuzzy B-spline basis function neural network is introduced.

84 Applied JT5-2 model saw tooth wave duplex jig to replace JT3-1 model single-chamber jig and spiral chutes which handle sand return from the double-spiral classifier, and achieved good index.

85 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.

86 The minimum - distance and neural network classifier are researched on pattern identification in this paper.

87 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.

88 Using pseudowords we can overcome data sparseness problem in supervised WSD and fully verify the experimental effect of word sense classifier.

89 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.

90 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.

91 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.

92 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.

93 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.

94 The second method uses Bayes classifier in the first step and decision tree classifier in the second step.

95 In this paper, we investigate enhancement of naive Bayes classifier using feature weighting technique.

96 According to MOR, they were tested using 10-fold cross validation with two real world data sets, and compared with Bayesian network classifier based on MPE.

97 The precision of cut of air classifier is decreased by the flunctuation of cut - size.

98 Then we employ Bayesian classifier to classify these questions. Answer extraction is the most crucial part for question answering system.

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

100 As the third-generation dynamic air classification equipment, turbo air classifier has high classification precision and good classification performance.

101 Numeral-noun constructions even exist in these languages which have plentiful individual classifier according to the typological linguistic facts.

101 try its best to collect and build good sentences.

102 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.

103 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.

104 The recognition rates for the handwritten digits and SAR image classification outperform the tradition Bayes classifier.

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

106 On the design of classifier, by introducing support vector machine, Chinese tone recognition rate is improved under low signal noise rate conditions.

107 This scheduling mechanism consists of capsule classifier, buffer manager, buffer queues and queue scheduler.

108 In designing Web Classifier, this thesis makes use of Vector Space Model to represent the web text, which improves the performance of Bayes Classifier.

109 The paper expounds an unknown malicious code detection based on minimum distance classifier, which has the capacity to distinguish malicious code and reliable programs.

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

111 As we know , the key technology of turbo air classifier is as follows: dispersion and separation.

112 These rules are selected by Genetic Algorithm theory, and these rules are combined by AFS theory and these rules are treated as a fuzzy classifier.

113 Finally, a method based on clustering is proposed to realize the classifier selection procedure in the pattern recognition system based on multiple classifier selection.

114 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.

115 In the course of researching, we accomplish a Decision Tree classifier.

116 The original optimal hyperplane algorithm proposed by Vladimir Vapnik in 1963 was a linear classifier.

117 Extracting frequency features of the ship-radiated noise and constructing classifier applied to object classification and recognition is the main contributiqns in this paper.

118 The paper briefly introduces the concept of privacy preserving data mining technology and studies the application of decision tree classifier in this particular field.

119 Firstly, the samples were acquired, the pre-selected pattern classifiers were used to test, and then the confusion matrix of each classifier was obtained.

120 Recognition completes the classification which classifies the above-mentioned character vector by classifier which gets the final result by decision-making function.

121 The classification technique uses various features of the signal amplitude, frequency, and power spectrum applied to the fuzzy classifier.

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