similar to: Finding related items (like latent semantic indexing)

If I have... class Parent has_many :children end class Child belongs_to :parent end ...then... * Assigning a _new_ child during parent''s creation saves the child record with the parent''s id. child = Child.new Parent.create(:children => [child]) # Results in child being associated with parent * Assigning an existing child after a parent''s creation

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

In case someone else runs into this, I found the problem, it was related to having some zero-length text files. Make sure you have valid (non-empty) data files for loading into the document-term matrix. Alex ---------- Forwarded message ---------- From: Alex McKenzie <ahmckenzie@gmail.com> Date: Mar 25, 2008 2:07 AM Subject: Error "... x must be atomic" when using lsa (latent

Hello, I'm trying to use the "lsa" (latent semantic analysis) package, and running into a problem that seems to be related to the number of documents being processed. Here's the code I'm running (after loading the lsa and rstem packages), and the error message: > SnippetsPath <- "c:\\OED\\AuditExplain\\" # path where to find text snippets >

I want to compare two documents in the index (i.e. retrieve the cosine similarity/score between two documents term-vector''s). Is this possible using the standard Ferret functionality? Thanks in advance, Jeroen Bulters -- Posted via http://www.ruby-forum.com/.

Hi, I am just getting started with Ferret, but I have a couple of questions. Any help is appreciated. 1) Will the current Ferret implementation only work on one server due to the index file? If it will work on multiple servers, could you point me towards some documentation? If not, are there plans to add support in the future? 2) This may not be Ferret-specific, but if I were implementing

Hi All, I would like to take a doc in the xapian DB and find all related documents by relevance e.g. so when you view one document it says "Related entries X Y Z". I'm aware of the "Morelikethis" Lucene plugin that is supposed to do something like this, by generating a query from a document based on term frequency. Has anyone developed a tool to generate a query from a

On 2/1/2012 18:52, Erik de Castro Lopo wrote: > JonY wrote: > >> Alright, here's a quick fix, although it is more ugly than I remembered. >> >> Basically, it removes those _MSC_VER ifdefs, and relies on inttypes.h >> where available, and falls back to I64 on MSVC and then ll for others, >> all format warnings suppressed. > > JonY, > > Sorry

Hi Can anyone please suggest me a package where I can estimate a non-linear regression model? One of the independent variables is latent or unobserved. I have an indicator variable for this unobserved variable; however the relationship is known to be non-linear also. In terms of equations my problem is y=f(latent, fixed) q=g(latent) where q is the indicator variable For me both f and g are

Hi everyone? Does anybody know how can I estimate a Latent class multinomial (or conditional) logit using R? I have tried flexmix, poLCA, and they do not seem to support this model. thanks in advance adan -- View this message in context: http://r.789695.n4.nabble.com/Latent-class-multinomial-or-conditional-logit-using-R-tp4230083p4230083.html Sent from the R help mailing list archive at

Hello there, I would like to test the agreement amongst 6 raters for nominal data on a scale from 1-4, and conduct a latent class analysis in R. How should the data be formatted and what code should I use? Thank you very much Lisa Wang Princess Margaret Hospital Biostatistics tel:416 946 4501

Dear list members I am new to the list and would be much appreciated if you could help me. I am very interested in applying Latent Class Model for analysing multiple raters agreement data. I have recently found a paper by Uebersax, J. (1993) which described a method in a form of Located Latent Class Analysis (llca). Uebersax has written a Fortran program which is available on the web, for the

I want estimate MIMIC latent variable with R in a Monte Carlo simulation. The packages plspm and semPLS don't permit to introduce MIMIC variable but only reflexives or formatives variables. The only one program which permits to use MIMIC latent variable with PLSPM seems to be XLSTAT, which can not be used to simulate a lot of data bases. It is a real challenge to develop a package with

Hai, Can anyone help me with some literature (R related) about latent models? Thanx, Wilfred

Hi r-help, I use lavaan:sem() for structural equation modelling with latent variables. Below is a reproducible example (the code requires a working installation of lavaan) where the latent variable criminality is in focus. Besides criminality in general, I am specifically interested one of the manifest variables that make up the latent variable criminality, namely fire.setting. My question is:

Dear Listers, My post might be somewhat OT. Currently, I am trying to use flexmix to build a finite mixture model. For instance, I am getting the prior probability and coefficients for each latent class from training data. Is there a way to get the posterior probablity and prediction of a new dataset? What I am thinking is to apply the prior prob and coefficient from training set to testing data

_____ De : Pousset [mailto:maud.pousset@noos.fr] Envoyé : mardi 4 juillet 2006 18:38 À : 'r-help@stat.math.ethz.ch' Objet : Latent Class Analysis Hello everybody, I am working on latent class analysis and have already used the ‘R’ function « lca » (in the e1071 package). I ‘ve got interesting results but I can’t simply find out the methodology used by this routine : 1) What

As an alternative to Latent GOLD, I'm wondering if anyone knows of and R package that can manage Latent Class Analysis with mixed variable types (continuous, ordinal, and nominal/binary). [[alternative HTML version deleted]]

What's the best approach to running latent class analysis with R? I've downloaded both randomLCA and poLCA packages, but I am interesting in running a standard LCA with individual records (not frequency table) as input data. Wen Gu John Jay College of Criminal Justice445 West 59 StreetNew York, NY 10029 wgu@gc.cuny.edu _________________________________________________________________

Dear all, I want to finished my paper by latent class Stochastic Frontier Analysis , but i can not find the package, is there anyone that may help me Thanks a lot. [[alternative HTML version deleted]]