similar to: Probabilistic aggregation

I've been reading up on wavelet transforms the past week, and I plan to start on some video compression stuff next week, if it's any good (small chance :)) for Tarkin. So far I think I know what's happening, however there's one small thing I don't quite understand yet. If I understand correctly, you can do a 2d wavelet transform (I'm assuming a Haar transform here for

On 20030610: Gregory Maxwell wrote: (in reply to Ralph Giles) >> I assume you're aware of the technical documentation on dolby's site? >> (http://www.dolby.com/pro/) In particular the surround mixing guide has >> a lot of detailed guidelines. I don't have any practical experience >> with it though, so I can't vouch for it. >Yes I am. I've done a

Hi, I'm working on a classification problem and one of the methods I'd like to use are neural networks. I've been using nnet to build a classification network. However I would like to have the probabilities associated with the prediction. Are there any implementations of probabilistic neural networks available in R? thanks,

Dear R Community, I first apoligize to ask statistical questions of general domain, probably beyond the mere use of R. I want to analyze the following type of data with R . Total annual fisheries landings have been reported during 1950-2007 from a given fishery area. I am dealing with annual fisheries landings proportions (LP) estimated for trophic level (TL) classes of 0.1increment, i.e. each

Dear useRs, I am pleased to announce the release of the new package PNN. PNN implements the algorithm proposed by Specht (1990). It is written in the R statistical language. It solves a common problem in automatic learning. Knowing a set of observations described by a vector of quantitative variables, we classify them in a given number of groups. Then, the algorithm is trained with this datasets

Dear useRs, I am pleased to announce the release of the new package PNN. PNN implements the algorithm proposed by Specht (1990). It is written in the R statistical language. It solves a common problem in automatic learning. Knowing a set of observations described by a vector of quantitative variables, we classify them in a given number of groups. Then, the algorithm is trained with this datasets

Hello, I'm using an SVM for predicting a model, but I'm most interested in the probability output. This is easy enough to calculate. My challenge is how to measure the relative performance of the SVM for different settings/parameters/etc. An AUC curve comes to mind, but I'm NOT interested in predicting true vs false. I am interested in finding the most accurate probability

Hi all, public-inbox allows searching for git blob names (e.g. "badc0ffee") in patches. Initially, I chose to use add_prefix for probabilistic terms, since I assumed it could be a superset of what boolean searching offered. Unfortunately, it doesn't seem to be the case because stemming is interfering. So switching to boolean filtering seems to work; and it is fine for mechanical

Hi I have two processes which take with a certain probability (p1 and p2) x number of years to complete (age1 and age2). As soon as thge first process is completed, the second one begins. I want to calculate the time it takes for the both processes to be completed. I have the following script which gives me the answer, butI think there must be a more elegant way of doing the calculations

Sorry this may well be defined as Off Topic. I apologize in advance. I am interested in performing what I think would be a probabilistic sensitivity simulation. I've done some crude ones before in excel but I'm wondering if R can help me do it more effectively? I have a set of theoretical variables for simplicity lets use (what I think) is an easier example: I have a peg and a hole

I have installed a Windows Program on Unix and running under Wine. The program is a DRM solution aimed at creating secure documents, at the stage of creating the document, the program fails. The company does not support this program on Unix, can anyone who is more experienced than I am with unix offer any suggestions how this might be investigated further to find what is going wrong? For example

*Fluidshopping is a Berlin-based startup working on a customer analytics tool for online retailers. Customer Lifefitime Value (CLV) is the mythical 'magic number', the amount of money a particular customer will ever bring in. Knowing your CLV makes it trivial to: - optimize marketing spend for different inbound channels. - identify your highest value customers, - identify those in danger

Hi, I am using iproute2 to setup fowarding, adding routes like "ip route add 192.168.1.3 via 192.168.1.2" I was wondering where in the kernel I can insert probabilistic packet loss only for forwarded packets? So that for instance I can drop 5% of all forwarded packets? I don''t need help with the actual code, just need help finding where to insert this code :) Thanks! George

hi,r project I am a new user who has some questions about r tool,I have some original data file in netcdf format which is a famous geometry data file format, The file contains very large weather information from every zone of the world,I want to extract only a part of them to calcuate, like the information in a city or the information between exact latitute range and longtitude range, can r tool

Dear R helpers     Suppose I have a following data   y  <- c(9.21, 9.51, 9.73, 9.88, 10.12. 10.21)   t  <- c(0, 0.25, 1, 3, 6, 12)   I want to find out the polynomial which fits y in terms of t i.e. y = f(t) some function of t.   e.g.   y = bo + b1*t + (b2 * t^2) + (b3 * t^3) + ...... and so on.   In Excel I have defined y as independent variable, then defined t, t^2 and t^3 and using

Dear all,I am a new user of WinBUGS and need your help. After running the following code, I got parameters of beta0 through beta4 (stats, density), but I don't know how to get the prediction of the last value of h, the variable I set to NA and want to model it using the following code.Does anyone can given me a hint? Any advice would be greatly appreciated.Best

THANKS so very much for your help (previous and future!). I have a two follow-up questions. 1) You say that dispersion = 1 by definition ....dispersion changes from 1 to 13.5 when I go from binomial to quasibinomial....does this suggest that I should use the binomial? i.e., is the dispersion factor more important that the 2) Is there a cutoff for too much overdispersion - mine seems to be

> -----Original Message----- > From: Eric Wieling [mailto:eric@fnords.org] > Sent: Friday, March 11, 2005 1:52 PM > To: Asterisk Users Mailing List - Non-Commercial Discussion > Subject: Re: [Asterisk-Users] Re: Incoming echo cancel > > > Nenad Radosavljevic wrote: > {clip} > > > > Anyone have an idea, why this type of echo happens ? As far as I have

Full_Name: Mikael Weigelt Version: 2.0 OS: windows Submission from: (NULL) (207.171.180.101) The calculation of the qpois attempts to use the Cornish-Fisher expansion as a starting approximation. The definition of the expansion is incorrect. However, since this approximation just gives an initial solution, the end result of the function is still correct. To fix the approximation, in the

On Sat, 2011-10-29 at 14:02 -0500, Hal Finkel wrote: > On Sat, 2011-10-29 at 12:30 -0500, Hal Finkel wrote: > > Ralf, et al., > > > > Attached is the latest version of my autovectorization patch. llvmdev > > has been CC'd (as had been suggested to me); this e-mail contains > > additional benchmark results. > > > > First, these are preliminary