This sounds like it could be a great contribution. I shall keep a curious eye on your progress
Am Mittwoch, 3. August 2016 21:53:54 UTC+2 schrieb Kevin Liu: > > Thanks for the advice Cristof. I am only interested in people wanting to > code it in Julia, from R by Domingos. The algo has been successfully > applied in many areas, even though there are many other areas remaining. > > On Wed, Aug 3, 2016 at 4:45 PM, Christof Stocker <stocker....@gmail.com > <javascript:>> wrote: > >> Hello Kevin, >> >> Enthusiasm is a good thing and you should hold on to that. But to save >> yourself some headache or disappointment down the road I advice a level >> head. Nothing is really as bluntly obviously solved as it may seems at >> first glance after listening to brilliant people explain things. A physics >> professor of mine once told me that one of the (he thinks) most malicious >> factors to his past students progress where overstated results/conclusions >> by other researches (such as premature announcements from CERN). I am no >> mathematician, but as far as I can judge is the no free lunch theorem of >> pure mathematical nature and not something induced empirically. These kind >> of results are not that easily to get rid of. If someone (especially an >> expert) states such a theorem will prove wrong I would be inclined to >> believe that he is not talking about literally, but instead is just trying >> to make a point about a more or less practical implication. >> >> >> Am Mittwoch, 3. August 2016 21:27:05 UTC+2 schrieb Kevin Liu: >>> >>> The Markov logic network represents a probability distribution over the >>> states of a complex system (i.e. a cell), comprised of entities, where >>> logic formulas encode the dependencies between them. >>> >>> On Wednesday, August 3, 2016 at 4:19:09 PM UTC-3, Kevin Liu wrote: >>>> >>>> Alchemy is like an inductive Turing machine, to be programmed to learn >>>> broadly or restrictedly. >>>> >>>> The logic formulas from rules through which it represents can be >>>> inconsistent, incomplete, or even incorrect-- the learning and >>>> probabilistic reasoning will correct them. The key point is that Alchemy >>>> doesn't have to learn from scratch, proving Wolpert and Macready's no free >>>> lunch theorem wrong by performing well on a variety of classes of >>>> problems, >>>> not just some. >>>> >>>> On Wednesday, August 3, 2016 at 4:01:15 PM UTC-3, Kevin Liu wrote: >>>>> >>>>> Hello Community, >>>>> >>>>> I'm in the last pages of Pedro Domingos' book, the Master Algo, one of >>>>> two recommended by Bill Gates to learn about AI. >>>>> >>>>> From the book, I understand all learners have to represent, evaluate, >>>>> and optimize. There are many types of learners that do this. What >>>>> Domingos >>>>> does is generalize these three parts, (1) using Markov Logic Network to >>>>> represent, (2) posterior probability to evaluate, and (3) genetic search >>>>> with gradient descent to optimize. The posterior can be replaced for >>>>> another accuracy measure when it is easier, as genetic search replaced by >>>>> hill climbing. Where there are 15 popular options for representing, >>>>> evaluating, and optimizing, Domingos generalized them into three options. >>>>> The idea is to have one unified learner for any application. >>>>> >>>>> There is code already done in R https://alchemy.cs.washington.edu/. >>>>> My question: anybody in the community vested in coding it into Julia? >>>>> >>>>> Thanks. Kevin >>>>> >>>>> On Friday, June 3, 2016 at 3:44:09 PM UTC-3, Kevin Liu wrote: >>>>>> >>>>>> https://github.com/tbreloff/OnlineAI.jl/issues/5 >>>>>> >>>>>> On Friday, June 3, 2016 at 11:17:28 AM UTC-3, Kevin Liu wrote: >>>>>>> >>>>>>> I plan to write Julia for the rest of me life... given it remains >>>>>>> suitable. I am still reading all of Colah's material on nets. I ran >>>>>>> Mocha.jl a couple weeks ago and was very happy to see it work. Thanks >>>>>>> for >>>>>>> jumping in and telling me about OnlineAI.jl, I will look into it once I >>>>>>> am >>>>>>> ready. From a quick look, perhaps I could help and learn by building a >>>>>>> very >>>>>>> clear documentation of it. Would really like to see Julia a leap ahead >>>>>>> of >>>>>>> other languages, and plan to contribute heavily to it, but at the >>>>>>> moment am >>>>>>> still getting introduced to CS, programming, and nets at the basic >>>>>>> level. >>>>>>> >>>>>>> On Friday, June 3, 2016 at 10:48:15 AM UTC-3, Tom Breloff wrote: >>>>>>>> >>>>>>>> Kevin: computers that program themselves is a concept which is much >>>>>>>> closer to reality than most would believe, but julia-users isn't >>>>>>>> really the >>>>>>>> best place for this speculation. If you're actually interested in >>>>>>>> writing >>>>>>>> code, I'm happy to discuss in OnlineAI.jl. I was thinking about how we >>>>>>>> might tackle code generation using a neural framework I'm working on. >>>>>>>> >>>>>>>> On Friday, June 3, 2016, Kevin Liu <kvt...@gmail.com> wrote: >>>>>>>> >>>>>>>>> If Andrew Ng who cited Gates, and Gates who cited Domingos (who >>>>>>>>> did not lecture at Google with a TensorFlow question in the end), >>>>>>>>> were >>>>>>>>> unsuccessful penny traders, Julia was a language for web design, and >>>>>>>>> the >>>>>>>>> tribes in the video didn't actually solve problems, perhaps this >>>>>>>>> would be a >>>>>>>>> wildly off-topic, speculative discussion. But these statements >>>>>>>>> couldn't be >>>>>>>>> farther from the truth. In fact, if I had known about this video some >>>>>>>>> months ago I would've understood better on how to solve a problem I >>>>>>>>> was >>>>>>>>> working on. >>>>>>>>> >>>>>>>>> For the founders of Julia: I understand your tribe is mainly CS. >>>>>>>>> This master algorithm, as you are aware, would require collaboration >>>>>>>>> with >>>>>>>>> other tribes. Just citing the obvious. >>>>>>>>> >>>>>>>>> On Friday, June 3, 2016 at 10:21:25 AM UTC-3, Kevin Liu wrote: >>>>>>>>>> >>>>>>>>>> There could be parts missing as Domingos mentions, but induction, >>>>>>>>>> backpropagation, genetic programming, probabilistic inference, and >>>>>>>>>> SVMs >>>>>>>>>> working together-- what's speculative about the improved versions of >>>>>>>>>> these? >>>>>>>>>> >>>>>>>>>> Julia was made for AI. Isn't it time for a consolidated view on >>>>>>>>>> how to reach it? >>>>>>>>>> >>>>>>>>>> On Thursday, June 2, 2016 at 11:20:35 PM UTC-3, Isaiah wrote: >>>>>>>>>>> >>>>>>>>>>> This is not a forum for wildly off-topic, speculative discussion. >>>>>>>>>>> >>>>>>>>>>> Take this to Reddit, Hacker News, etc. >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> On Thu, Jun 2, 2016 at 10:01 PM, Kevin Liu <kvt...@gmail.com> >>>>>>>>>>> wrote: >>>>>>>>>>> >>>>>>>>>>>> I am wondering how Julia fits in with the unified tribes >>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>>> mashable.com/2016/06/01/bill-gates-ai-code-conference/#8VmBFjIiYOqJ >>>>>>>>>>>> >>>>>>>>>>>> https://www.youtube.com/watch?v=B8J4uefCQMc >>>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >
