unsupervised造句61. The suburban children who died were generally unsupervised and had migrant parents, according to education authorities.
62. An unsupervised segmentation of SAR imagery based on Multiscale image block is proposed.
63. If you see a door that has been left open and unsupervised, please close it.
64. In unsupervised learning, the goal is harder because there are no pre-determined categorizations.
65. The hybrid classification can improve the efficiency of process on supervised classification or unsupervised classification.
66. A new immune clonal clustering algorithm based on the clonal selection optimization of the artifical immune system is proposed for solving unsupervised classification and recognition problems.
67. Unsupervised learning has produced many successes, such as world-champion calibre backgammon programs and even machines capable of driving cars!
68. Made sure of the parameters and thresholds of different objects with supervised and unsupervised classification.
69. The paper presents an unsupervised learning algorithm to learn answer pattern for answer extraction module of Chinese Question Answering(QA).
70. Clustering analysis is important part of data mining. It is an unsupervised learning process and it doesn't need prior knowledge about data set.
71. The former belongs to supervised learning and the latter belongs to unsupervised learning.
72. This paper introduces the histogram approximation method Criterion ( BIC ) into unsupervised change detection.
73. Two step algorithm is proposed for unsupervised detection of linear structure from SAR image, in particular, the road network detection.
74. In the slums of India, Newcastle professor Sugata Mitra scattered unsupervised stand-alone Internet stations and challenged eager children to teach themselves.
75. While for terrace extraction, supervised classification has better result than unsupervised classification. The difference of total accuracy between two methods based on IKONOS image is more than 12%.
76. Fuzzy c-means clustering(FCM) algorithm works as an unsupervised classification method has been applied in object identification and image segmentation.
77. Comprehensive analysis and comparisons are given for several typical algorithms in supervised and unsupervised classification.
78. Clustering analysis is one of the important data mining techniques that can discover hidden modes by unsupervised learning and has the ability of acquiring knowledge independently.