uncleflo
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word2vec - Google Code Archive
Saved by uncleflo on December 23rd, 2018.
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research. The word2vec tool takes a text corpus as input and produces the word vectors as output. It first constructs a vocabulary from the training text data and then learns vector representation of words. The resulting word vector file can be used as features in many natural language processing and machine learning applications. A simple way to investigate the learned representations is to find the closest words for a user-specified word. The distance tool serves that purpose. For example, if you enter 'france', distance will display the most similar words and their distances to 'france', which should look like:
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RFC 4515 - Lightweight Directory Access Protocol (LDAP): String
Saved by uncleflo on February 7th, 2018.
This document specifies an Internet standards track protocol for the Internet community, and requests discussion and suggestions for improvements. Please refer to the current edition of the "Internet Official Protocol Standards" (STD 1) for the standardization state and status of this protocol. Distribution of this memo is unlimited. Lightweight Directory Access Protocol (LDAP) search filters are transmitted in the LDAP protocol using a binary representation that is appropriate for use on the network. This document defines a human-readable string representation of LDAP search filters that is appropriate for use in LDAP URLs (RFC 4516) and in other applications.
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State-space representation
Saved by uncleflo on June 23rd, 2017.
In control engineering, a state-space representation is a mathematical model of a physical system as a set of input, output and state variables related by first-order differential equations. "State space" refers to the Euclidean space in which the variables on the axes are the state variables. The state of the system can be represented as a vector within that space. To abstract from the number of inputs, outputs and states, these variables are expressed as vectors. Additionally, if the dynamical system is linear, time-invariant, and finite-dimensional, then the differential and algebraic equations may be written in matrix form. The state-space method is characterized by significant algebraization of general system theory, which makes it possible to use Kronecker vector-matrix structures. The capacity of these structures can be efficiently applied to research systems with modulation or without it. The state-space representation (also known as the "time-domain approach") provides a convenient and compact way to model and analyze systems with multiple inputs and outputs. With {\displaystyle p} p inputs and {\displaystyle q} q outputs, we would otherwise have to write down {\displaystyle q\times p} q\times p Laplace transforms to encode all the information about a system. Unlike the frequency domain approach, the use of the state-space representation is not limited to systems with linear components and zero initial conditions.
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ISO 3166-1 alpha-2 - Wikipedia, the free encyclopedia
Saved by uncleflo on May 16th, 2013.
ISO 3166-1 alpha-2 codes are two-letter country codes defined in ISO 3166-1, part of the ISO 3166 standard published by the International Organization for Standardization (ISO), to represent countries, dependent territories, and special areas of geographical interest. They are the most widely used of the country codes published by ISO (the others being alpha-3 and numeric), and are used most prominently for the Internet's country code top-level domains (with a few exceptions).[1] They were first included as part of the ISO 3166 standard in its first edition in 1974.
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