search for: jianping

Displaying 5 results from an estimated 5 matches for "jianping".

2007 Jun 11
2
how to ignore error messages?
...t will take a lot of time. I added some logic assessments prior to running nonlinear fit. It helped but some exceptions still existed. I am wondering if there is any way in R by which I can continue to run the entire code to the end by ignoring the error message? Greatly appreciate your help, Jianping ################################## Jianping Jin Ph.D. Bioinformatics scientist Center for Bioinformatics Room 3133 Bioinformatics building CB# 7104 University of Chapel Hill Chapel Hill, NC 27599 Phone: (919)843-6105 FAX: (919)843-3103 E-Mail: jjin at email.unc.edu
2002 Feb 26
1
Samba client
Hi, I have an samba sevrver as PDC of an NT domain. I want to join another machine(samba) to the domain as a member of NT domain. How can I do it. Thanks -------------------------------- Jianping Zhu Department of Computer Science Univerity of Georgia Athens, GA 30602 Tel 706 5423900 --------------------------------
2012 Oct 04
1
some improvements about the latent semantic search
Hi,all, Recently I invented a new ranking algorithm inspired by the theory of spread activation and probabilistic model, which can find the latent semantic relationship between docs and terms and is almost linear time, and I took one afternoon to code and implement this algorithm. And the testing result shows that the speed of this algorithm is much faster than the famous Latent Semantic Analysis
2016 Dec 02
2
How to add a new diagnostic error message in Clang 2.6?
Hi, everyone. I want to add a new diagnostic error message for Chinese in Clang 2.6 showed as follows. def err_expected_semi_declaration_chinese : Error< "您在该行声明之后是否少了个';'或者是中文输入法?">; So i append a new one in the end of file DiagnosticParseKinds.td, and then recompile it. However, there is a error occurs: llvm2.6/llvm/tools/clang/lib/Parse/ParseDecl.cpp:370: error:
2012 Oct 04
0
Xapian-devel Digest, Vol 90, Issue 1
Hi, all guys: I invented a new ranking algorithm inspired by the theory of spread activation and probabilistic model, which can find the latent semantic relationship between docs and terms, and I took one afternoon to implement this idea, which is almost linear time, and the testing result shows that the speed of this algorithm is much faster than the famous Latent Semantic Analysis