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 <[email protected] > 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 <[email protected]> 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 <[email protected]> >>>>>>>>>> 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 >>>>>>>>>>> >>>>>>>>>> >>>>>>>>>>
