From mboxrd@z Thu Jan 1 00:00:00 1970 X-Spam-Checker-Version: SpamAssassin 3.4.4 (2020-01-24) on polar.synack.me X-Spam-Level: X-Spam-Status: No, score=-1.9 required=5.0 tests=BAYES_00 autolearn=unavailable autolearn_force=no version=3.4.4 Path: eternal-september.org!reader01.eternal-september.org!feeder.eternal-september.org!aioe.org!.POSTED.3d73Ybk3C5U4I2t8lv+lAQ.user.gioia.aioe.org!not-for-mail From: "Dmitry A. Kazakov" Newsgroups: comp.lang.ada Subject: Re: Artificial Intelligence libraries in ADA Date: Wed, 10 Jul 2019 17:08:49 +0200 Organization: Aioe.org NNTP Server Message-ID: References: <53481976-aebc-4d6d-bb8f-aa4f63f0b01b@googlegroups.com> NNTP-Posting-Host: 3d73Ybk3C5U4I2t8lv+lAQ.user.gioia.aioe.org Mime-Version: 1.0 Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: 7bit X-Complaints-To: abuse@aioe.org User-Agent: Mozilla/5.0 (Windows NT 10.0; WOW64; rv:60.0) Gecko/20100101 Thunderbird/60.7.2 Content-Language: en-US X-Notice: Filtered by postfilter v. 0.9.2 Xref: reader01.eternal-september.org comp.lang.ada:56847 Date: 2019-07-10T17:08:49+02:00 List-Id: On 2019-07-10 13:30, Daniel wrote: > It looks really interesting. For now i've only tested ID3, and CART (C4.5) Trees for simple clasification problems. I've never used fuzzy logic and i don't know yet how it really works, but i will investigate all this work. Do not worry about fuzzy logic. Firstly, what is traditionally called "fuzzy logic" is not what is used in the library [*]. Secondly, the fuzzy decision tree is a proper extension/continuation of the crisp decision tree. If you have crisp data sets the result of learning will be a crisp tree. No magic, no snake oil. ---- * There are some traditional ad-hoc defuzzification methods implemented, but they are flagged as such and you don't need to use them. Otherwise, read "fuzzy logic" as continuation of Belnap-Dunn four-state logic rather than largely pseudo-scientific "fuzzy logic and control". -- Regards, Dmitry A. Kazakov http://www.dmitry-kazakov.de