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31. To overcome the hardship of enacting the pre-probability distribution with high certainty factor, this paper proposes one novel way of applying Bayes analysis to classify pattern.

32. This paper focuses on privacy preserving classification, and presents a privacy preserving Naive Bayes classification approach based on data randomization and feature reconstruction.

33. Bayes factor is the major tool for model selection in Bayesian Statistics.

34. To improve efficiency, used naive Bayes classify method to reduce the searching space.

35. The optimal decision arithmetic are obtained by minimizing the average Bayes risk, the decision form of the local detectors and fusion center can be simplified as the likelihood ratio test.

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

37. The paper expounds the application of Bayes discriminant analysis in safety evaluation.

38. Adopting the Fuzzy induce basing on bayes flow and relatedness flow and improving the reliability of diagnosis.

39. Then by Naive Bayes text classification method, a document unknown class can be classified.

40. According to Bayes theorem, a new method can be got in data diagnosis - grading method.

41. These variables were used to establish fishers and Bayes discriminant functions to distinguish sexual dimorphism among the three strains.

42. In order to implement the parameter estimate in cable fault location system, an improved Bayes algorithm used for Model parameter estimate is proposed in this paper.

43. Based on vector space model a Bayes text classification method is proposed.

44. The research of the real-word errors check mainly depends on some specific confusion sets and as well as Bayes theorem.

45. Presently , naive Bayes algorithm for Email filtering has been accepted widely for its simplicity and plainness.

46. Empirical Bayes estimation ( EBE ) and maximum likelihood estimation ( MLE ) of reliability index are given, respectively.

47. Bayes network is a directed acyclic graph with a series of conditional probabilities.

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

49. The representations of statistic - based approach include Bayes and SVM ( support vector machine ) and so on.

50. To improve the technology of the textile CAD, we proposed a new way of textile image segmentation by the minimum error Bayes decision theory based on the semi-supervised clustering.

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

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

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

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

54. Sentencedict.com is a online sentence dictionary, on which you can find excellent sentences for a large number of words.

55. In combination with the Bayes estimator for the parameter of linear exponential model under the same loss function, the nonparametric empirical Bayes estimator of the unknown parameter was obtained.

56. Meanwhile, we try to understand the decision - making behaviors under Bayes risk by simulating the related decisions.

57. 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.

58. However, proper conditions can prevent sericin from gelation and improve cocoon reelability due to weaker gumming force among bayes.

59. Bayes filtering has a dominant place in the area of filtering for its excellentcategorization , high precision.

60. Naive Bayes classification is a kind of simple and effective classification model. However, the performance of this model may be poor due to the assumption on the condition independence.