We address the problem of predicting a word from previous words in a sample of text. In particular, we discuss n-gram models based on classes of words. We also discuss several StatistiCAl algorithms for assigning words to classes based on the frequency of their co-occurrence with other words. We find that we are able to extract classes that have the flavor of either syntactically based groupings or semantically based groupings, depending on the nature of the underlying statistics.
標簽： predicting particular previous address
上傳時間： 2016-12-26
上傳用戶：xfbs821
The scope of this SCM simulator is to provide an easy-to-use, GUI supported, MATLAB developed application to any user who requires a practical tool to perform MIMO simulations and to obtain StatistiCAl data.
標簽： easy-to-use developed simulator supported
上傳時間： 2014-09-03
上傳用戶：jhksyghr
The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical StatistiCAl models, nonlinear models such as neural networks, and local memory-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.
標簽： foundations The consists sections
上傳時間： 2017-06-22
上傳用戶：lps11188
Bayes networks. From theory to application. E book document for advanced bayes theory and StatistiCAl model
標簽： theory application statistica networks
上傳時間： 2013-12-20
上傳用戶：三人用菜
driver program which uses the above two modules. I have also made available the data set pollute.dat of mortality rates against socio-economic, meteorological and pollution variables for 60 StatistiCAl areas in the USA.
標簽： available the program modules
上傳時間： 2017-07-28
上傳用戶：wff
The potential of solving real-time demanding industrial applications, using vision-based algorithms, drastically grew due to an increasing availability of computational power. In this thesis a novel real-time, vision-based Blackjack analysis system is presented. The embedding of the vision algorithms in a compound system of other information sources such as an electronic chip tray, reduces the vision task to detect cards and chips. Robust results are achieved by not just analyzing single frames but an image stream regarding game-ß ow informations. The requirements for such a system are a highly robust and adaptive behav- ior. This is motivated by the vital interest of casino entrepreneurs in a 100 StatistiCAl analysis of their offered gambling in order to support the business plan, measuring table and dealer performance and give accurate player rating. Extensive experiments show the robustness and applicability of the proposed system.
標簽： applications vision-based algorithms industrial
上傳時間： 2017-08-20
上傳用戶：liansi
Pattern Analysis is the process of fi nding general relations in a set of data, and forms the core of many disciplines, from neural networks to so-called syn- tactical pattern recognition, from StatistiCAl pattern recognition to machine learning and data mining. Applications of pattern analysis range from bioin- formatics to document retrieval.
標簽： the relations Analysis Pattern
上傳時間： 2017-09-07
上傳用戶：SimonQQ
Features a unique program to estimate the power spectral density. The spectrum containing all significant details is calculated from a time series model. Model type as well as model order are determined automatically from the data, using StatistiCAl criteria. Robust estimation algorithms and order selection criteria are used to obtain reliable results. Unlike in FFT analysis, where the experimenter has to set the amount of smoothing of the raw FFT, the right level of detail is assessed using the data only.
標簽： containing Features estimate spectral
上傳時間： 2014-02-09
上傳用戶：daguda
Multivariate Analysis
上傳時間： 2015-04-14
上傳用戶：4gezifu
During the past two decades there has been a substantial growth in research in wireless communications. The number of journals published from various parts of the world catering to the research community has grown exponentially. Despite such a growth, the engineering community still needs more information so as to thoroughly comprehend wireless channel characteristics. What specifically must be understood are the effects of channel degradation brought on by StatistiCAl fluctua- tions in the channel.
標簽： Shadowing Wireless Systems Fading and in
上傳時間： 2020-05-27
上傳用戶：shancjb
