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HTTP Header Analysis

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DNS

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aligned induction the theory and practice of induction by alignment paper - the theory and practice of induction by alignment abstract induction is the discovery of models given samples. this paper demonstrates formally from first principles that there exists an optimally likely model for any sample, given certain general assumptions. also, there exists a type of encoding, parameterised by the model, that compresses the sample. further, if the model has certain entropy properties then it is insensitive to small changes. in this case, approximations to the model remain well-fitted to the sample. that is, accurate classification and prediction is practicable for some samples. artificial neural networks are implementations of supervised machine learning. the paper explains why the least-squares gradient-descent optimisation of a neural net can be well-fitted in some cases, even without regularisation techniques. then the paper derives directly from theory a practicable unsupervised machine learning algorithm that optimises the likelihood of the model by maximising the alignment of the model variables. alignment is a statistic which measures the law-likeness or the degree of dependency between variables. it is similar to mutual entropy but is a better measure for small samples. if the sample variables are not independent then the resultant models are well-fitted. furthermore, the models are structures that can be analysed because they consist of trees of context-contingent sub-models that are built layer by layer upwards from the substrate variables. in the top layers the variables tend to be diagonalised or equational. in this way, the model variables are meaningful in the problem domain. overview the ‘overview’ section covers the important points of the theory and some interesting parts of the practice. the overview also has a summary of the set-theoretic notation used throughout. overview pdf (88 pages) ( versions ) paper although this document is still in the format of a paper, it has grown to be the length of a book. in order to be more accessible there is an ‘overview’ section at the beginning. the complete theory and various practical implementations are in the following sections. the section ‘induction’ also begins with a review of relevant parts of the earlier sections. the paper finishes with some appendices on various related issues, including an appendix ‘useful functions’. paper pdf (1178 pages) ( versions ) code - implementation of aligned induction the alignment repository is an implementation, written in haskell, of some of the set-theoretic functions and structures described in the paper, including the model framework and practicable inducers . it is designed with the goal of theoretical correctness rather performance. documentation - commentary on the overview some of the sections of the overview have been illustrated with a haskell commentary using the alignment repository . the comments provide both (a) code examples for the paper and (b) documentation for the code. the examples are designed to be comprehensible to programmers unfamiliar with haskell. comments: [email protected]

URL analysis for greenlake.co.uk

http://greenlake.co.uk/pages/overview_haskell
http://greenlake.co.uk/pages/papers_versions
http://greenlake.co.uk/papers/201803290540.pap1.pdf
http://greenlake.co.uk/papers/201803290540.pap4.pdf

Whois Information

Whois is a protocol that is access to registering information. You can reach when the website was registered, when it will be expire, what is contact details of the site with the following informations. In a nutshell, it includes these informations;

Domain name:
greenlake.co.uk

Registrant:
Greenlake Associates Ltd

Registrant type:
UK Limited Company, (Company number: 3089678)

Registrant's address:
13 Colchester Drive
Pinner
Middlesex
HA5 1DE
United Kingdom

Data validation:
Nominet was able to match the registrant's name and address against a 3rd party data source on 04-Jul-2014

Registrar:
Easyspace Ltd [Tag = EASYSPACE]
URL: https://www.easyspace.com/domain-names/extensions/uk

Relevant dates:
Registered on: 13-Dec-2002
Expiry date: 13-Dec-2018
Last updated: 07-Dec-2016

Registration status:
Registered until expiry date.

Name servers:
ns1.namecity.com
ns2.namecity.com

WHOIS lookup made at 19:24:03 19-Mar-2018

--
This WHOIS information is provided for free by Nominet UK the central registry
for .uk domain names. This information and the .uk WHOIS are:

Copyright Nominet UK 1996 - 2018.

You may not access the .uk WHOIS or use any data from it except as permitted
by the terms of use available in full at http://www.nominet.uk/whoisterms,
which includes restrictions on: (A) use of the data for advertising, or its
repackaging, recompilation, redistribution or reuse (B) obscuring, removing
or hiding any or all of this notice and (C) exceeding query rate or volume
limits. The data is provided on an 'as-is' basis and may lag behind the
register. Access may be withdrawn or restricted at any time.

  REFERRER http://www.nominet.org.uk

  REGISTRAR Nominet UK

SERVERS

  SERVER co.uk.whois-servers.net

  ARGS greenlake.co.uk

  PORT 43

  TYPE domain

OWNER

  ORGANIZATION Greenlake Associates Ltd

TYPE
UK Limited Company, (Company number: 3089678)

ADDRESS
13 Colchester Drive
Pinner
Middlesex
HA5 1DE
United Kingdom
Data validation:
Nominet was able to match the registrant's name and address against a 3rd party data source on 04-Jul-2014

DOMAIN

  SPONSOR Easyspace Ltd [Tag = EASYSPACE]

  CREATED 2002-12-13

  CHANGED 2016-12-07

STATUS
Registered until expiry date.

NSERVER

  NS1.NAMECITY.COM 62.128.193.35

  NS2.NAMECITY.COM 84.22.161.171

  NAME greenlake.co.uk

DISCLAIMER
This WHOIS information is provided for free by Nominet UK the central registry
for .uk domain names. This information and the .uk WHOIS are:
Copyright Nominet UK 1996 - 2018.
You may not access the .uk WHOIS or use any data from it except as permitted
by the terms of use available in full at http://www.nominet.uk/whoisterms,
which includes restrictions on: (A) use of the data for advertising, or its
repackaging, recompilation, redistribution or reuse (B) obscuring, removing
or hiding any or all of this notice and (C) exceeding query rate or volume
limits. The data is provided on an 'as-is' basis and may lag behind the
register. Access may be withdrawn or restricted at any time.

  REGISTERED yes

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