- From: Paola Di Maio <paola.dimaio@gmail.com>
- Date: Tue, 17 Nov 2020 10:43:27 +0800
- To: Paul Alagna <pjalagna@gmail.com>
- Cc: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAMXe=SpDTqq9+ZBscOFrosLPHP2V38t6j7y8OF2eSyrF0_jdRg@mail.gmail.com>
Basically first we need a description of work to be done then we have to decide how its going to be done and explain why Please explain what is the purpose of your proposed is bayesian ratio and other analysis on your list, thank you PDM PDM On Tue, Nov 17, 2020 at 10:35 AM Paola Di Maio <paola.dimaio@gmail.com> wrote: > Hi Paul > > I dont know what you have in mind > but sharing a common understand is part of the mission of this group > > thanks for your suggestions, the seem premature since we have not yet > defined > the work to be done, not even conceptually (Its quite common to see people > do tasks without > any thinking behind them) > > Perhaps you can explain what you have in mind and share your spec with the > group > before planning tasks? > > After we have an agreed spec, we may decide the tasks to be carried out to > implement it? > > > thank you! > > PDM > > On Tue, Nov 17, 2020 at 9:19 AM Paul Alagna <pjalagna@gmail.com> wrote: > >> All; >> I am ready to proceed into the analysis of non-profits. >> to do this I need several (5+) xml's built from stratML.xsd. >> Owen if you could provide a list for me i would be grateful. >> >> my task list (so far) is >> 1- create a master domain list from all xml. (IE a master tautology) >> >> 2- using this master list; define the bayesian ratio of each xml >> -- bayesian ratio (total size)/(usage count) >> >> 3- graph of instances within the xml's >> --- scatter plot as >> x= each response entry; >> y= each xml organization >> --- define the popularity on x; popularity on y >> --- define the minimal set of y to satisfy all x >> ---- Knuth's knapsack problem. >> >> >> Thanks >> PAUL ALAGNA >> PJAlagna@Gmail.com >> 732-322-5641 >> >> >> >> Thanks >> PAUL ALAGNA >> PJAlagna@Gmail.com >> 732-322-5641 >> >> >> >>
Received on Tuesday, 17 November 2020 02:44:18 UTC