search for: artificials

Am 31.05.2017 um 15:24 schrieb Timo Sirainen: > https://dovecot.org/releases/2.2/dovecot-2.2.30.1.tar.gz > https://dovecot.org/releases/2.2/dovecot-2.2.30.1.tar.gz.sig > > Due to some release process changes I didn't notice that one important bugfix wasn't included in the v2.2.30 release branch before I made the release. So fixing it here with v2.2.30.1. Also included another

Hi R-Users, I have a student doing work with lionfish and she has been trying to analyse a multivariate dataset to see what variables/factors are influencing the behaviour of lionfish. We have attempted a number of analyses, including rpart, relimpo and standard linear regression but we are not having much luck with quality output. The data is very non-normal and we would appreciate some advice

Dear All, I am trying to create an artificial binary matrix such that each cell has a probability of 0.048 of having a 1. So far the closest I've come is us by using a random poisson distribution with a mean of 0.048, but I can't figure out how to limit the max value to 1. Otherwise that would work fine it seems. Any suggestions? The main code I've got to create said matrix so far

I need to create artificial datasets with specific correlation coefficients (i.e. a dataset that returns r = 0.30, etc.) as examples for a lab I am teaching this summer. Is there a way to do that in R? Thanks. Jim Milks Graduate Student Environmental Sciences Ph.D. Program 136 Biological Sciences Wright State University 3640 Colonel Glenn Hwy Dayton, OH 45435 [[alternative HTML version

I read a lot of white papers, but is there not any open source implementation of SFI or artificial diversity? I google around, but I can't find anywhere anything regarding what I could openly download. In the same respect, I would also like to make an innovation proposal to create such an endeavor if there is not one already. -------------- next part -------------- An HTML attachment was

Hi! I am studying to use some R libraries which are applied for working with artificial neural neworks (amore, nnet). Can you recommend some useful, reliable and easy to get example data to use in R for creating and testing a neural network? __________________________________________________________________ Make your browsing faster, safer, and easier with the new Internet

To the R users community: (We apologize for multiples copies) (Please distribute) --------------------------------------------------------------------------- 1st Call for Papers - 2nd International Symposium on Distributed Computing and Artificial Intelligence (DCAI'09) June 10th - 12th , 2009 - Salamanca - Spain http://dcai.usal.es/ The International Symposium on Distributed Computing and

Andy, et al., In ScheduleDAGInstrs::buildSchedGraph, the code for handling stores has this: if (!ExitSU.isPred(SU)) // Push store's up a bit to avoid them getting in between cmp // and branches. ExitSU.addPred(SDep(SU, SDep::Artificial)); This code does not seem to be in any way specific to compares; and in any case, at least on the PPC A2, scheduling stores in

Hi David, I got a problem related to the change made in r188651 - not including file/line info for artificial arguments like "this" and "self". Would you be able to take a look at it, please? I am compiling the code for ARM linux with fast ISel disabled: -mllvm -fast-isel=0. The problem is that it's not possible to step intothe constructor, destructor or a method of a

Hi all, I have deploy speex 1.1.6 in my application. With no option set, I can hear that the voice sounds a little bit artificial like robot. Any idea what causes this? I use openh323 with speex, but it seems ok. Is it neccessary for me to use more other filter prior to encode the sound or after decode my sound? yueweng __________________________________ Do you Yahoo!? Yahoo! Mail -

On Jan 17, 2014, at 4:03 PM, Andrew Trick <atrick at apple.com> wrote: > > On Jan 17, 2014, at 3:54 PM, Hal Finkel <hfinkel at anl.gov> wrote: > >> Andy, et al., >> >> In ScheduleDAGInstrs::buildSchedGraph, the code for handling stores has this: >> >> if (!ExitSU.isPred(SU)) >> // Push store's up a bit to avoid them

Clang is inserting an llvm.memcpy function call into my program where it does not exist (the code never calls memcpy), is there a particular reason for this? It also looks like it's inserting two other artificial function calls, something to do with llvm.lifetime.start and llvm.lifetime.end, what are these functions and why are they being inserted artificially? Thanks. -------------- next

Hi, This applies to everyone having (or suspecting) problems with Speex. The first thing to do is to encode the file in wav format and use speexenc/speexdec on it. If you're getting something different with your application, it's likely buggy. If the result isn't OK, then it can be: 1) Normal given the bandwidth/bit-rate used 2) A conditioning problem with your audio (i.e. DC not

Evento Corporativo avanzado: Mapeo y An?lisis de Procesos 24 de Marzo 2023- Curso Online en vivo Aprenda y mejore sus habilidades para identificar los procesos cr?ticos en su empresa y c?mo mejorarlos utilizando t?cnicas y herramientas de mapeo y an?lisis. Al participar: > Aprender? a definir los indicadores clave de rendimiento (KPIs) para medir el ?xito. > Descubrir? t?cnicas y

Awesome! Thanks so so much! I'm very interested in doing some work with compilers. Yeah, I'm considering writing a research proposal where I work for JIT-SFI, SFI Evasion Technique and Mitigation, and a few other things. Considering your experience working on modifying llvm, what would you say would be a topic where I could start out doing some good work on, either in a new direction or

> On 7 Oct 2019, at 17:04, Tierney, Luke <luke-tierney at uiowa.edu> wrote: > > Think about what happens if an > argument in a pipe stage contains a pipe. (Not completely > unreasonable, e.g. for a left_join). It should work exactly as it does in a local environment. ``` `%foo%` <- function(x, y) { env <- parent.frame() # Use `:=` to avoid partial matching on

Dear R-colleagues, I am quite a newbie to R fighting my stupidity to solve a probably quite simple problem of generating artificial data with defined features. I am conducting a study of inter-observer-agreement in child-bronchoscopy. One of the most important measures is Kappa according to Fleiss, which is very comfortable available in R through the irr-package. Unfortunately medical doctors

Realized I didn't document the original reviews that motivated this thread: A stack of reviews, split off from here: https://reviews.llvm.org/D69787 Alok's posted a new patch (with smaller patches split off from the monolithic one) here: https://reviews.llvm.org/D84112 I haven't had a chance to page in all the old context, nor look at the new ones in detail yet. But probably worth

Hi, Let me consolidate what we discussed with my opinion. * On the point of new intrinsic llvm.dbg.derefval: It (new intrinsic) was more a neater way than a needed way. The whole functionality can go ahead without it and using llvm.dbg.value instead. Though I liked it (new intrinsic), since most of us are against it, it should be fine for me to drop it. This is because the transformation was

On Mon, Jan 13, 2020 at 9:20 AM Adrian Prantl <aprantl at apple.com> wrote: > > > > On Jan 10, 2020, at 11:36 AM, David Blaikie <dblaikie at gmail.com> wrote: > > > > > > > > On Fri, Jan 10, 2020 at 7:02 AM Jeremy Morse < > jeremy.morse.llvm at gmail.com> wrote: > >> Hi, > >> > >> On Wed, Jan 8, 2020 at 8:38 PM