Support servers like Tomcat, Resin, WebSphere, WebLogic etc. Multi-languages(English/Chinese...) Support RSS 2.0 RSS syndication Unlimited XML news source Customizable fetch time interval Customizable max entry count Customizable max content size
標簽： Multi-languages WebSphere WebLogic Support
上傳時間： 2015-10-17
上傳用戶：x4587
Abstract：Noise frequency modulation(FM)jamming。which belongs to blanket jamming。is already become the main form ofnoise jamming at present。because the wideband was gained by it．Tne spectnlnl ofnoise FM jamming is analyzed by time domain autocorrelation method in this paper．It’S jamm g peculiarity and幾out— putting signal’S jamming peculiarity ale explained．At last，these time series models ofnoise FM jalllIIling sig— nal and幾outputting signal ale built．
標簽： jamming modulation frequency Abstract
上傳時間： 2015-10-17
上傳用戶：lijinchuan
acm HDOJ 1051WoodenSticks Description: There is a pile of n wooden sticks. The length and weight of each stick are known in advance. The sticks are to be processed by a woodworking machine in one by one fashion. It needs some time, called setup time, for the machine to prepare processing a stick. The setup times are associated with cleaning operations and changing tools and shapes in the machine. The setup times of the woodworking machine are given as follows: (a) The setup time for the first wooden stick is 1 minute. (b) Right after processing a stick of length l and weight w , the machine will need no setup time for a stick of length l and weight w if l<=l and w<=w . Otherwise, it will need 1 minute for setup.
標簽： WoodenSticks Description length wooden
上傳時間： 2014-03-08
上傳用戶：netwolf
Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that one of man’s greatest dreams seemed to be realizable—artificial intelligence. Bearing in mind that in the early days the most powerful computers had much less computational power than a cell phone today, it comes as no surprise that much theoretical research on the potential of machines’ capabilities to learn took place at this time. This becomes a computational problem as soon as the dataset gets larger than a few hundred examples.
標簽： Introduction Classifiers Algorithms introduces
上傳時間： 2015-10-20
上傳用戶：aeiouetla
Organized in a practical problem-and-solution format, More Exceptional C++ picks up where the widely acclaimed Exceptional C++ leaves off, providing successful strategies for solving real-world problems in C++. Drawing from years of in-the-trenches experience, Herb Sutter provides tested techniques and practical solutions for programmers designing modern software systems with C++, from small projects to enterprise applications.
標簽： problem-and-solution Exceptional Organized practical
上傳時間： 2015-10-20
上傳用戶：chenbhdt
The purpose of this paper is to provide a practical introduction to the discrete Kalman filter. This introduction includes a description and some discussion of the basic discrete Kalman filter, a derivation, description and some discussion of the extended Kalman filter, and a relatively simple (tangible) example with real numbers & results.
標簽： introduction practical discrete purpose
上傳時間： 2014-11-14
上傳用戶：familiarsmile
In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation.
標簽： R.E. discrete-dat describing published
上傳時間： 2015-10-22
上傳用戶：2404
In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.
標簽： R.E. discretedata describing published
上傳時間： 2015-10-22
上傳用戶：a673761058
Many applications in computer graphics require complex, highly detailed models. However, the level of detail actually necessary may vary considerably. To control processing time, it is often desirable to use approximations in place of excessively detailed models.
標簽： applications computer graphics detailed
上傳時間： 2014-11-22
上傳用戶：拔絲土豆
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic method of increasing the height-to-width ratio of the cluster histogram, we develop a novel algorithm – CLOPE, which is very fast and scalable, while being quite effective. We demonstrate the performance of our algorithm on two real world
標簽： data transactional categorical clustering
上傳時間： 2015-10-24
上傳用戶：evil
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