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Search Results: 1 - 10 of 4186 matches for " Xinghao AI "
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Advances of maintenance chemotherapy on advanced non-small cell lung cancer
Xinghao AI,Shun LU
Chinese Journal of Lung Cancer , 2008,
Genome Wide Association Study on Lung Cancer
Xiaomin NIU,Xinghao AI,Shun LU
Chinese Journal of Lung Cancer , 2009,
Analysis and Comparison of ARCH Effects for Shanghai Composite Index and NYSE Composite Index
Xinghao Liao,Guangdong Qi
International Journal of Business and Management , 2009, DOI: 10.5539/ijbm.v3n12p20
Abstract: In this article, we used ARCH class model to analyze and compare the income fluctuations of Shanghai Stock Market and NYSE, and obtained the characters of fluctuation for two markets and the models which fitted to describe them. At the same time, we also analyzed the fluctuation overflow effect of two markets, validated the character that Chinese stock market was not relatively mature and possessed low international market integration degree, and put forward relative policy advances.
Conditions for Convergence in Regularized Machine Learning Objectives
Patrick Hop,Xinghao Pan
Mathematics , 2013,
Abstract: Analysis of the convergence rates of modern convex optimization algorithms can be achived through binary means: analysis of emperical convergence, or analysis of theoretical convergence. These two pathways of capturing information diverge in efficacy when moving to the world of distributed computing, due to the introduction of non-intuitive, non-linear slowdowns associated with broadcasting, and in some cases, gathering operations. Despite these nuances in the rates of convergence, we can still show the existence of convergence, and lower bounds for the rates. This paper will serve as a helpful cheat-sheet for machine learning practitioners encountering this problem class in the field.
Study on Undergraduates Employment Ideological Education Practice  [PDF]
Lirong Ai
Creative Education (CE) , 2015, DOI: 10.4236/ce.2015.63029
Abstract: The critical solution to the employment of graduates with difficulties in finding a job, which is initially contributed to the stresses and strains of the career guidance in higher vocational colleges, is to solve the problem of ideological and political education the graduates should have. This paper analyzed the data from a survey, taken in a vocational college in Hubei Province in China, on what kinds of problems and why the graduates with difficulties in finding a job might suffer from in their minds. And then the reasonable comments and proper suggestions were presented to solve the problem in higher vocational colleges in China under the guidance of related theories of Chinese and Western ideological and political education.
Look at Neutrino Oscillations in Space-Like Continuum  [PDF]
Xiaobai Ai
Journal of Modern Physics (JMP) , 2018, DOI: 10.4236/jmp.2018.97087
Abstract: Based on the special theory of relativity in space-like continuum, the pre-sent author points that if there exist tachyons in nature, they should be neutral point-like particles with lepton appearance, which are very much like our early understanding about neutrinos before. The author also points that an alternative explanation for neutrino oscillations may be the conversion between mass-less neutrinos with different flavors expressed in different “lowest limited momentum” during their flight journey, which originates from that the argument in the squared sine function of the probability of neutrino oscillation may be less than zero, which is mathematical foresight and may not be ignored.
Available Face-Changing Effect  [PDF]
Xiaobai Ai
Journal of Modern Physics (JMP) , 2018, DOI: 10.4236/jmp.2018.912138
Abstract: Based on mathematical foresight and beyond the mainstream inertial thinking pattern, the author believes that if neutrinos were really tachyons, the mystery of neutrinos might be solved. Fortunately, the space-like theory of special relativity reveals that there would exist an observable effect i.e. a “face-changing effect”, not oscillation, which was just related to the superluminal motion. As long as the motion velocity of an electron anti-neutrino was greater than c2/v, where v was the instantaneous thermal motion velocity of its mother neutron at the time of β-decay, a corresponding electron neutrino formed from the face-changing would be observed on the journey. Therefore, a special and easy way to judge the physical nature of neutrinos may be suggested the reactor neutrino experimental groups all over the world, in addition to the current studies involving the disappearance mode of \"\", to add a new experimental search after ve in the \"\" current, to see whether a few ve neutrinos would exceed the background counting. “Yes” result would reveal the neutrinos being tachyons, and “no” would be not.
Two Physical Constraints upon the Motions of Celestial Bodies  [PDF]
Xiaobai Ai
Journal of Modern Physics (JMP) , 2019, DOI: 10.4236/jmp.2019.103023
Abstract: There exist two physical constraints upon the motions of celestial systems. Constraint 1 reveals during collapse or explosion motion of celestial bodies that there would be an unattainability upper limit for their compact intensity (total mass M/scale size R), which arises from the Lorentz invariance of the time-like metric in local four-dimensional continuum in Einstein’s theory of special relativity. Constraint 2 points that the average mass density of nucleon would be an unsurpassed upper limit for bulk normal matter in nature, which arises from Heisenberg’s uncertainty principle. A very important effect is that the combination of these two physical constraints would prevent the formation of black holes.
Marching Cubes Algorithm for Fast 3D Modeling of Human Face by Incremental Data Fusion
Xiangsheng Huang,Xinghao Chen,Tao Tang,Ziling Huang
Mathematical Problems in Engineering , 2013, DOI: 10.1155/2013/203609
A Novel Video Content Understanding Scheme Based on Feature Combination Strategy
Xinghao Jiang,Tanfeng Sun,Bin Chen,Rongjie Li
Journal of Computers , 2009, DOI: 10.4304/jcp.4.7.615-622
Abstract: With the development of the multimedia technology, there are more and more video resources on the Internet, which are difficult to automatically recognize, classify and index. So solve these problems, we present a novel video content understanding scheme in this paper. This scheme is based on the combination strategy of different video features. To represent these video features, we use nine standard MPEG-7 descriptors, including color, texture, region and motion descriptors. We extract and combine these descriptors together to represent the whole video character. After that, we use an SVM as the classifier to train the model. The traditional 1-1 method of the SVM is modified by a Second-Prediction Strategy to gain higher classification accuracy. Finally, the videos are classified into five genres, including cartoons, commercial, music, news, and sports. We compare our classification results with some of the results in the recent papers, and demonstrate the effectiveness of our scheme.
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