From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Original-To: caml-list@yquem.inria.fr Delivered-To: caml-list@yquem.inria.fr Received: from mail4-relais-sop.national.inria.fr (mail4-relais-sop.national.inria.fr [192.134.164.105]) by yquem.inria.fr (Postfix) with ESMTP id 18BBEBC37 for ; Mon, 23 Nov 2009 10:04:31 +0100 (CET) X-IronPort-Anti-Spam-Filtered: true X-IronPort-Anti-Spam-Result: ArkBANTeCUvRVdvUkGdsb2JhbACCfY8NiUQ/AQEBAQkJDAcTA6degTqEcYhrAQMDBYQ3BA X-IronPort-AV: E=Sophos;i="4.47,270,1257116400"; d="scan'208";a="50806152" Received: from mail-ew0-f212.google.com ([209.85.219.212]) by mail4-smtp-sop.national.inria.fr with ESMTP; 23 Nov 2009 10:04:30 +0100 Received: by ewy4 with SMTP id 4so1786581ewy.7 for ; Mon, 23 Nov 2009 01:04:30 -0800 (PST) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=gamma; h=domainkey-signature:mime-version:received:date:message-id:subject :from:to:content-type; bh=goKT6UQP7kkT7RzHalPghWWl2is5p9kx+etYXQcP/4w=; b=Y4VsKKOy739Hh4BANWpGXAQUjlmrgmpFGXe6okoMWvfKql3+Mf3jFuYHoBaEvaJprX SuPM/uIpX4CBfsAw0BvOCcJRfhmV8S7MVtv7/78uR7xE6frYQMyX8ZZnRospu2sylWQZ rWTil9GphKeW1IJxvHd4hL1/0mrj78Yk/XHew= DomainKey-Signature: a=rsa-sha1; c=nofws; d=gmail.com; s=gamma; h=mime-version:date:message-id:subject:from:to:content-type; b=D6esDVl0RcP2V2XmvEFi3/7NyIeeQ1QjYJo46PZutdHaE6Fv9OYP5GRE+u3aMAX9aJ oxfs8ZuzPH9mGvAlYebT7BNvIgMYhrkcTLQdarUI23gKD8yhnzpXaEdm8qfUP4NYv0ir oe4vVUs+zGhmcWQQt2LVeazCICvDOk5eOWbEs= MIME-Version: 1.0 Received: by 10.216.86.132 with SMTP id w4mr1412388wee.87.1258967069551; Mon, 23 Nov 2009 01:04:29 -0800 (PST) Date: Mon, 23 Nov 2009 04:04:29 -0500 Message-ID: Subject: ANN: Gaussian processes in OCaml From: Markus Mottl To: OCaml List Content-Type: text/plain; charset=ISO-8859-1 X-Spam: no; 0.00; gaussian:01 ocaml:01 markus:01 mottl:01 markus:01 mottl:01 ocaml:01 gpr:01 gaussian:01 implements:01 gpr:01 library:03 library:03 manual:06 regression:09 It is my pleasure to announce the availability of OCaml GPR, a machine learning library for dealing with Gaussian process regression in OCaml. Gaussian processes are the hot thing du jour in machine learning research, and this library implements a number of the most recent advances in this field. The library and manual can be downloaded from here: http://www.ocaml.info/home/ocaml_sources.html#gpr A Godi package (gpr) is already available, too. Enjoy! Best regards, Markus -- Markus Mottl http://www.ocaml.info markus.mottl@gmail.com