<button id="64cgu"></button> 關于統計過程Outlier方面的論文，非常具有權威性。
上傳時間： 2013-12-14
上傳用戶：mhp0114
Spatial Outlier Detection Algorithm by Matlab
標簽： Detection Algorithm Spatial Outlier
上傳時間： 2016-05-29
上傳用戶：ljt101007
In this paper, we present LOADED, an algorithm for Outlier detection in evolving data sets containing both continuous and categorical attributes. LOADED is a tunable algorithm, wherein one can trade off computation for accuracy so that domain-specific response times are achieved. Experimental results show that LOADED provides very good detection and false positive rates, which are several times better than those of existing distance-based schemes.
標簽： algorithm detection containi evolving
上傳時間： 2014-01-08
上傳用戶：aeiouetla
// chebysheve Outlier detection // this function is used to detect the abnormal value among a set of data // input: // delta: a set of data // flag: discribe which data is already known as Outlier // p: restrict level // output: // double[] door : byyond which the data may be considered as a Outlier // door[0]: the upperdoor // door[1]: the lowerdoor
標簽： chebysheve detection abnormal function
上傳時間： 2013-11-30
上傳用戶：13517191407
We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of Outliers. In this letter, we derive an approximate closed-form expression for the Outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the Outliers.
標簽： frequency-offset estimation quadrature amplitude
上傳時間： 2014-01-22
上傳用戶：牛布牛
A semantic session analysis method partitioning Web usage logs is presented．Semantic W eb usage log preparation model enhances usage logs with semantic．The M arkov chain mode1 based on ontology semantic measurement is used to identi． ing which active session a request should belong to．The corn— petitive method is applied to determine the end of the sessions． Compared with other algorithms，more successfu1 sessions are additionally detected by semantic Outlier analysis．
標簽： usage partitioning presented semantic
上傳時間： 2016-08-06
上傳用戶：gxrui1991
