search for: probabilistically

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,

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

On 2017-11-16 17:53, Thomas Gleixner wrote: > On Thu, 16 Nov 2017, Quan Xu wrote: >> On 2017-11-16 06:03, Thomas Gleixner wrote: >> --- a/drivers/cpuidle/cpuidle.c >> +++ b/drivers/cpuidle/cpuidle.c >> @@ -210,6 +210,13 @@ int cpuidle_enter_state(struct cpuidle_device *dev, >> struct cpuidle_driver *drv, >> ??????????????? target_state =

On 2017-11-16 17:53, Thomas Gleixner wrote: > On Thu, 16 Nov 2017, Quan Xu wrote: >> On 2017-11-16 06:03, Thomas Gleixner wrote: >> --- a/drivers/cpuidle/cpuidle.c >> +++ b/drivers/cpuidle/cpuidle.c >> @@ -210,6 +210,13 @@ int cpuidle_enter_state(struct cpuidle_device *dev, >> struct cpuidle_driver *drv, >> ??????????????? target_state =

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

Hello, I'm a new user to R and need some help coding a mathmatically simple aggregation of normal distributions. I have three normal distributions: A ~ N(8.51, 4.24^2) B ~ N(7.57, 3.62^2) C ~ N(10.84, 6.59^2) with correlation coefficients of: rho(AB) = 0.710 rho(AC) = 0.263 rho(BC) = 0.503 and I want to simulate Z = A + B + C, showing the results on a plot and fitting a distribution to the

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

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

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

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

*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

I have a R script that contain these lines for plotting: plot(foo,lwd=2,lty=3,col="red", main=""); plot(bar,lwd=2,lty=3,col="blue"); legend(0.6,0.6,c('Default','Probabilistic'), col=c('red','blue'),lwd=3); But it generate 1 file (Rplot.pdf) with two pages. Each page for 1 plot. Is there a way I can put them together in to one page?

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

Missed %{_mandir}/man1/xapian-progsrv.1* diff -u RPM/BUILD/xapian-core-0.9.9/xapian.spec RPM/SPECS/xapian.spec --- RPM/BUILD/xapian-core-0.9.9/xapian.spec 2006-11-09 09:14:38.000000000 -0500 +++ RPM/SPECS/xapian.spec 2006-11-09 09:14:03.000000000 -0500 @@ -1,10 +1,10 @@ # RedHat-style .spec file for Xapian # xapian.spec. Generated from xapian.spec.in by configure. -Summary: The Xapian

On Fri, 17 Nov 2017, Quan Xu wrote: > On 2017-11-16 17:53, Thomas Gleixner wrote: > > That's just plain wrong. We don't want to see any of this PARAVIRT crap in > > anything outside the architecture/hypervisor interfacing code which really > > needs it. > > > > The problem can and must be solved at the generic level in the first place > > to gather

I am developping a personal/desktop search tool for which I am experimenting with doing no stemming during the indexing, but instead having a stem database (or several for different languages), used for expanding the query terms at search time. (ie: user query: flooring -> stem: floor -> final query for: [floored flooring floorings floors]) I have thought of a possible problem with

R-users, I have been using R for about 1 year, and I have run across a couple of graphics problem that I am not quite sure how to address. I have read up on the email threads regarding the differences between density and relative frequencies (count/sum(count) on the R list, and I am hoping that someone could provide me with some advice/comments concerning my approach. I will admit

Hello, I wonder if there is a way to cause Xapian to order a result set purely by docid. In other words, once the result set has been determined, I'd like the results to be returned to me ordered by their docid, as opposed to by their match relevance. The problem at hand is that I'm building a search engine for a mailing list and I would like to return matches sorted by date; ordering by

On 2017-11-16 06:03, Thomas Gleixner wrote: > On Wed, 15 Nov 2017, Peter Zijlstra wrote: > >> On Mon, Nov 13, 2017 at 06:06:02PM +0800, Quan Xu wrote: >>> From: Yang Zhang <yang.zhang.wz at gmail.com> >>> >>> Implement a generic idle poll which resembles the functionality >>> found in arch/. Provide weak arch_cpu_idle_poll function which