The Little Green BATS is the first and so far only Dutch team in the 3D simulation league. We are a group of graduate students from the department of AI at the University of Groningen, The Netherlands. Our team name is derived from the fact that the first 3D agents in the league were balls and from the very philosophical observation that Balls Are Truly Spheres (BATS). This abbreviation reminded us of our favorite song Little Green Bag by The George Baker Selection and so the whole team name was born.
We entered the competition for the first time at the 10th edition of RoboCup at Bremen, Germany. unfortunately our hard work didn t pay off that time: already in the second round we got eliminated. However, after this we had a good base to build upon and the good time we had at the event and the nice community inspired us to continue and work hard for Another year. This turned out to be defiantly worth it, because in 2007 in Atlanta we managed to become vice world champions!
Flash中內(nèi)置了一個(gè)狀態(tài)寄存器（Status Register，SR）來(lái)指示Flash的當(dāng)前工作狀態(tài)和各種操作是否成功。要讀取SR的當(dāng)前值需要向CUI發(fā)送讀狀態(tài)寄存器命令（Read Status Register），命令碼為0x70，SR中的內(nèi)容將在DQ[7:0]上輸出。The Read Status Register （0x70）command causes subsequent reads to output data from the SR until Another command is issued. The SR bits are output on DQ[7:0].
xl2tpd is an implementation of the Layer 2 Tunnelling Protocol (RFC 2661).
L2TP allows you to tunnel PPP over UDP. Some ISPs use L2TP to tunnel user
sessions from dial-in servers (modem banks, ADSL DSLAMs) to back-end PPP
servers. Another important application is Virtual Private Networks where
the IPsec protocol is used to secure the L2TP connection (L2TP/IPsec,
RFC 3193). The L2TP/IPsec protocol is mainly used by Windows and
Mac OS X clients. On Linux, xl2tpd can be used in combination with IPsec
implementations such as Openswan.
The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from Another.
KEYWORDS: Total least squares, generalized total least squares, software implementation.
an approach for capturing similarity between words that was concerned with the syntactic similarity of two strings. Today we are back to discuss Another approach that is more concerned with the meaning of words. Semantic similarity is a confidence score that reflects the semantic relation between the meanings of two sentences. It is difficult to gain a high accuracy score because the exact semantic meanings are completely understood only in a particular context.
In the previous article, we presented an approach for capturing similarity between words that was concerned with the syntactic similarity of two strings. Today we are back to discuss Another approach that is more concerned with the meaning of words. Semantic similarity is a confidence score that reflects the semantic relation between the meanings of two sentences. It is difficult to gain a high accuracy score because the exact semantic meanings are completely understood only in a particular context.
This manual documents the interfaces of the libxml library and has some short notes to help get you up to speed with using the library.
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Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided also that the entire resulting derived work is distributed under the terms of a permission notice identical to this one.
Permission is granted to copy and distribute translations of this manual into Another language, under the above conditions for modified versions.
Purpose:
--- --
This component is used for capturing staff from AVI to BMP.
Installation:
-------------
Extract the compiled units into your Lib directory or into
Another directory that is listed in the Library path in your Delphi options.
Choose file AVIcap.dcu for register.
description:
------------
AVIcap V2.0 used for capturing frame from AVI without drawing on the screen, that is
essentially fast. It can be reached by using of avifil32.dll from MS Video For Windows.
New property: number of bits per pixel of bitmap.Now you can save BMP using next formats:
pf1bit, pf4bit, pf8bit, pf8bitGray, pf15bit, pf16bit, pf24bit, pf32bit, pfDevice.
See example to detail.
neural network utility is a Neural Networks library for the
C++ Programmer. It is entirely object oriented and focuses
on reducing tedious and confusing problems of programming neural networks.
By this I mean that network layers are easily defined. An
entire multi-layer network can be created in a few lines, and
trained with two functions. Layers can be connected to one Another
easily and painlessly.
