search for: mclachlan

Any plans to make LLVM work with Google's new language, Go? http://www.technewsworld.com/story/Go-Go-Google-Programming-Language-68622.html?wlc=1257974768&wlc=1258041607&wlc=1258047741

...25 AM, Edward O'Callaghan wrote: > No, its up to them which backend they want to use. > Sounds like they think that GCC is super quick compared to LLVM. Looks > like another fud fart out of google to me. Edward, this is no place for comments like this. Evan > > 2009/11/12 Jon McLachlan <mclachlan at apple.com>: >> Any plans to make LLVM work with Google's new language, Go? >> >> http://www.technewsworld.com/story/Go-Go-Google-Programming-Language-68622.html?wlc=1257974768&wlc=1258041607&wlc=1258047741 >> __________________________________...

Hey folks, I am not sure who owns bugpoint, but twice now we have had to apply this patch manual. I don’t have commit access, so, help submitting this would be awesome. -------------- next part -------------- A non-text attachment was scrubbed... Name: bugpoint.git.patch Type: application/octet-stream Size: 507 bytes Desc: not available URL:

No, its up to them which backend they want to use. Sounds like they think that GCC is super quick compared to LLVM. Looks like another fud fart out of google to me. 2009/11/12 Jon McLachlan <mclachlan at apple.com>: > Any plans to make LLVM work with Google's new language, Go? > > http://www.technewsworld.com/story/Go-Go-Google-Programming-Language-68622.html?wlc=1257974768&wlc=1258041607&wlc=1258047741 > _______________________________________________ &g...

I'm interested in contributing to LLVM, but I'm a rather bad C/C++ developer. I do most of my work in Ada and was wondering if there was a way to still contribute to something other than the Ada frontend.

On Nov 2, 2009, at 3:30 PM, Jon McLachlan wrote: > Hey folks, > > I am hoping that someone might be able to help me better understand > this design decision: For a 64 bit target, index's into GEP's of > arrays are zext up to 64 bit integers, even if the variable itself is > an alloca of only i32. Similarly, o...

Hey folks, I am hoping that someone might be able to help me better understand this design decision: For a 64 bit target, index's into GEP's of arrays are zext up to 64 bit integers, even if the variable itself is an alloca of only i32. Similarly, on a 32 bit target, index's into GEP's are trunc'd down to 32 bits even if they ultimately reference an alloc'd

...ture models to data. Each mixture component has p parameters (p=29 in my application) and there are q components to the mixture. The number of data points is n ~ 1500. I need to select a good q and I have been considering model selection methods suggested in Chapter 6 of @BOOK{mp01, author = {McLachlan, G. J. and Peel, D.}, title = {Finite Mixture Models}, publisher = {Wiley}, address = {New York}, year = {2001} } One of these methods involves an "empirical information matrix" which is the matrix of products of parameter scores at the observation level evaluated at t...

Hey Everyone, I know that LLVM subscribes to the notion of "progress over backwards compatibility." And in that spirit, maybe someone could help me better understand the motivation behind removing the MallocInst? Is there a design doc anywhere? From a pragmatic sense, the IRBuilder's createMalloc, which was returning a MallocInst, was doing a lot of messy work for

...k. I've only seen some side mentions in Ripley's Pattern recognition (when talking about stratified cross-validation), and Davison & Hinkley's bootstrap book when, on p. 304, they refer to some subsets having singular design matrices, and thus requiring stratification on covars. McLachlan (in his discriminant analysis book), on p. 347, differentiates between mixture sampling and separate sampling, but I can find a mention of what do when, under mixture sampling, we end up with all samples in only one group. Only Hirst (1996, Technometrics, 38 (4): 389--399) says that each bootst...

...bstract. Deadlines for Abstract submission is February 4, 2013 and for Early Registration is April 20, 2013. **Invited Speakers** 1)Ciprian Crainiceanu Johns Hopkins University, USA 2)Torsten Hothorn Ludwig-Maximilians-Universit?t Munchen, DEU 3)Stefano M. Iacus Universit? di Milano, ITA 4)Geoff McLachlan University of Queensland, AUS 5)Hein Putter Leiden University Medical Cente, NLD **Short Course** (sunday 7 july 2013) J. Fox, ' An Introduction to Structural Equation Modelling with the sem Package for R'. best wishes, Vito Muggeo, on behalf of the IWSM2013 Scientific Commit...

...ter presentations will be awarded (see below). The deadline for Early Registration is April 20, 2013. **Invited Speakers** 1)Ciprian Crainiceanu, Johns Hopkins University, USA 2)Torsten Hothorn, Ludwig-Maximilians-Universit?t Munchen, DEU 3)Stefano M. Iacus, Universit? di Milano, ITA 4)Geoff McLachlan, University of Queensland, AUS 5)Hein Putter, Leiden University Medical Cente, NLD **Short Course** (Sunday 7 July 2013) J. Fox, ' An Introduction to Structural Equation Modelling with the sem Package for R'. **Toyota Motor Corporation Student Awards** (sponsored by Leonard N. Stern...

Hello all, I am trying to fit a truncated mixture model and I wrote a driver for flexmix following the example in the vignette, but it doesn't work for me: it assigns all data points to one component only, e.g.: > > source('bugged.R') > > Call: > flexmix(formula = x ~ 1, k = 2, model = truncatedmodel(lower = -4, > upper = 4)) > > prior size

Greetings RListers, I have a data set containing two types of outcomes; success and failure. Associated with each outcome are 12 different measurements. I'm trying to find out, for example, if some of the 12 measures are associated more with success or failure or, if there's any relationship at all between the measures and the outcomes (success or failure). I don't have (as yet)

Are there any S-Plus or R libraries/packages that do Finite Mixture Analysis following the algorithms similar to those implemented in Geoffrey MacLachlan's EMMIX program? Thanks. Dr. Marc R. Feldesman email: feldesmanm at pdx.edu email: feldesman at attglobal.net fax: 503-725-3905 "Don't know where I'm going. Don't like where I've been. There may be no exit. But

Hi I have a matrix with 30 observations and roughly 30000 variables, each obs belongs to one of two groups. With svm and slda I get into memory troubles ('cannot allocate vector of size' roughly 2G). PCA LDA runs fine. Are there any way to use the memory issue withe SVM's? Or can you recommend any other classification method for such huge datasets? P.S. I run suse 9.1 on a 2G RAM

Dear all, not really a R question but: If I want to check for the classification accuracy of a LDA with previous PCA for dimensionality reduction by means of the LOOCV method: Is it ok to do the PCA on the WHOLE dataset ONCE and then run the LDA with the CV option set to TRUE (runs LOOCV) -- OR-- do I need - to compute for each 'test-bag' (the n-1 observations) a PCA