<tfoot id="e0a20"></tfoot> <ul id="e0a20"></ul> <ul id="e0a20"></ul> <ul id="e0a20"></ul> <ul id="e0a20"></ul> <strike id="e0a20"></strike>
Hospital queue is a regular met are very familiar with the phenomenon. It every day one way or another in the form in front of us. For example, patients to hospitals, pharmacies dispensing to patients, patients with transfusion to the infusion room, often need wait To some kind of service.
標(biāo)簽： phenomenon Hospital familiar regular
上傳時(shí)間： 2013-12-26
上傳用戶：四只眼
The last step in training phase is refinement of the clusters found above. Although DynamicClustering counters all the basic k-means disadvantages, setting the intra-cluster similarity r may require experimentation. Also, a cluster may have a lot in common with another, i.e., sequences assigned to it are as close to it as they are to another cluster. There may also be denser sub-clusters within the larger ones.
標(biāo)簽： DynamicClusteri refinement Although clusters
上傳時(shí)間： 2014-01-04
上傳用戶：watch100
Peers is a very minimalistic SIP User-Agent. It s a softphone, written in java, and it has been tested on linux and windows. It allows a user to call from one PC to another on a local area network, using SIP/SDP/RTP with Ulaw encoding for voice.
標(biāo)簽： minimalistic User-Agent softphone written
上傳時(shí)間： 2014-12-02
上傳用戶：cainaifa
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(biāo)簽： algorithm detection containi evolving
上傳時(shí)間： 2014-01-08
上傳用戶：aeiouetla
This code is described in "Computational Geometry in C" (Second Edition), Chapter 8. It is not written to be comprehensible without the explanation in that book. Prints out one arm configuration to reach given target. Assumes number of links >= 3. Input: nlinks Number of links L1 L2 ... Ln Link lengths x0 y0 target0 x1 x2 target1
標(biāo)簽： Computational described Geometry Chapter
上傳時(shí)間： 2014-01-25
上傳用戶：yan2267246
Run the SQL script given to you to create a Library database. Note that each row in the Book table denotes a book copy. Thus, if the library carries three copies of the title "DBMS", there will be three rows in the Book table, one for each copy. Write the SQL statements to do the following against the database
標(biāo)簽： the database Library script
上傳時(shí)間： 2014-08-29
上傳用戶：nanxia
As3 Crypto is a cryptography library written in Actionscript 3 that provides several common algorithms. This version also introduces a TLS engine (TLS is commonly known as SSL.)
標(biāo)簽： Actionscript cryptography algorith provides
上傳時(shí)間： 2014-01-24
上傳用戶：hopy
This book is for all those people. • For the person who thinks programming is too hard • For the person who gets bogged down when writing or changing larger scripts (our analyst) • For the person who knows the wrong languages well (our programmer): languages like Java, C#, C++, and C are perfectly fine languages—in their niche.
標(biāo)簽： 8226 programming people person
上傳時(shí)間： 2016-07-10
上傳用戶：lz4v4
Sun’s most advanced certification program in Java technology is the Sun Certified Enterprise Architect (“SCEA”) for Java 2 Platform. This book, the Sun Certified Enterprise Architect for J2EE Study Guide (Exam 310-051), provides all the information that you may need to prepare for the SCEA. It has detailed chapters and a CD covering all the topics of the SCEA exam. To pass the certification, the candidate should be familiar with the fundamentals of Java applications programming and should have skill in Java programming. Additionally, there are some specific technologies that the candidate should know we
標(biāo)簽： certification Enterprise technology Sun
上傳時(shí)間： 2016-07-27
上傳用戶：李夢(mèng)晗
The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Belief Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods (Metropolis, Gibbs, Wolff, Swendsen-Wang). Use "help inference" from Matlab to see all options for usage. 2. gbp_preprocess.m and gbp.m These 2 interfaces split Generalized Belief Propagation into the pre-process stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use only one of them, or changing some parameters in between. Use "help gbp_preprocess" and "help gbp" from Matlab. 3. simulatedAnnealing.m An interface to the simulated-annealing c-code. This code uses Metropolis sampling method, the same one used for inference. Use "help simulatedAnnealing" from Matlab.
標(biāo)簽： Matlab-interfaces inference interface the
上傳時(shí)間： 2016-08-27
上傳用戶：gxrui1991
蟲蟲下載站版權(quán)所有 京ICP備2021023401號(hào)-1
<tfoot id="46umw"></tfoot>
<del id="46umw"></del>