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- =Rhea Section for Data Structure [[ECE608]] Professor Ghafoor, 2011= [[Category:Data StructureECE6082011Ghafoor]]263 B (34 words) - 10:41, 29 December 2010
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- **[[2011 Data Structure ECE608 Ghafoor|ECE608: Data Structure, Prof. Ghafoor]]13 KB (1,570 words) - 13:53, 7 August 2018
- ...dge, needs less data, is more modular, and can handle missing or corrupted data. Methods include mixture models and Hidden Markov Models. The latter approa ...rtitionings which form a taxonomy. Another possibility is to learn a graph structure between the clusters, as in the Growing Neural Gas. The quality of the clus31 KB (4,832 words) - 18:13, 22 October 2010
- Clustering is a nonlinear activity that groups data by generating ideas, images and chunks around a stimulus point. As clusteri ...gives a simplistic representation of clustering. Figure 1 has unclustered data initially, not necessarily grouped, and the application of a clustering alg8 KB (1,173 words) - 12:41, 26 April 2008
- By using union of hypersurfaces, classes can be separated by a tree based structure. Tree based separation is harder, and obtaining an optimum decision tree is '''Meaning 1:''' One that will make few mistakes when used to classify actual data. In statistical language: small probability of error.5 KB (737 words) - 08:45, 17 January 2013
- ...as a key to make SVM an effective tool for classifying linearly separable data. Here we see some examples of kernel functions, and the condition that det ...ance to hyperplane with same computational cost as training SVM in initial data space.8 KB (1,354 words) - 08:51, 17 January 2013
- ...ear discriminant is a classification method that projects high-dimensional data onto a line and performs classification in this one-dimensional space. The ...nknown image data to classes which minimize the distance between the image data and the class in multi-feature space. The distance is defined as an index o3 KB (430 words) - 10:40, 24 April 2008
- applications, such as data mining, web searching, retrieval of multimedia data, face recognition, and cursive handwriting recognition, the underlying process that generated the data. The contributions of this special issue cover a wide39 KB (5,715 words) - 10:52, 25 April 2008
- The purpose is to generate decision tree using the training data. The idea: Ask a series of simple questions following a tree structure (linear 1-D).6 KB (1,047 words) - 08:42, 17 January 2013
- If sample data is pure i.e. small variance in the training data can yield large variations in decision rules obtained.6 KB (806 words) - 08:42, 17 January 2013
- A machine learning technique in which a function is created from training data. ...output). To achieve this, the learner has to generalize from the presented data to unseen situations in a "reasonable" way.3 KB (454 words) - 09:09, 7 April 2008
- ...e model structure is not specified a priori but is instead determined from data. The term nonparametric is not meant to imply that such models completely l319 B (52 words) - 01:42, 17 April 2008
- *Each criterion imposes a certain structure on the data. *If the data conforms to this structure, the true clusters can be discovered.8 KB (1,244 words) - 08:44, 17 January 2013
- Spectral methods are widely used to reduce data dimensionality in order to enable a more effective use of several pattern r ...sitive definite kernel of dimension m, the extrinsic dimensionality of the data.2 KB (238 words) - 10:41, 28 April 2008
- By using union of hypersurfaces, classes can be separated by a tree based structure. Tree based separation is harder, and obtaining an optimum decision tree is '''Meaning 1:''' One that will make few mistakes when used to classify actual data. In statistical language: small probability of error.5 KB (744 words) - 11:17, 10 June 2013
- ...eal world phenomena. The success of the discipline in providing a rigorous structure on which principles of physics and chemistry can be scaffolded is perhaps m ...ime, or a dynamic system evolving under known constraints, and we feed the data into our mathematical machinery. Before our eyes the information is transfo27 KB (4,384 words) - 17:47, 26 October 2009
- *One of the way php decides what to do with user input data is through actions. ...L forms, radio buttons, checklists etc. all need a defined action when the data is submitted. The handling action may be a page, or another function within7 KB (1,129 words) - 06:32, 28 May 2010
- Given the training data, observation sequence(s) X, and basic model structure, (i.e. number of states, number of possible observations) how to learn the In order to learn an HMM model from given training data, by using forward and backward algorithm, and plugging them into an EM algo4 KB (710 words) - 18:50, 9 May 2010
- ...dge, needs less data, is more modular, and can handle missing or corrupted data. Methods include mixture models and Hidden Markov Models. The latter approa ...rtitionings which form a taxonomy. Another possibility is to learn a graph structure between the clusters, as in the Growing Neural Gas. The quality of the clus31 KB (4,787 words) - 18:21, 22 October 2010
- =Rhea Section for Data Structure [[ECE608]] Professor Ghafoor, 2011= [[Category:Data StructureECE6082011Ghafoor]]263 B (34 words) - 10:41, 29 December 2010
- ...e seriously. The ability of project design and ability of using MATLAB for data analysis are two basic skills for an engineer. So work hard on this course, ...es that I took, excel was never used, but I believe it is heavily used for data organization in the industry. The most important things to learn in the FYE11 KB (2,089 words) - 14:16, 16 December 2011
- ...time trying to understand what is achieved by applying PCA on a particular data. Although my interpretation of how PCA work is prone to errors, I hope the ...the article by Jonathon Shlens's tutorial on PCA, inheriting his tutorial structure and examples. His article itself is a very readable and comprehensive one a6 KB (1,043 words) - 12:45, 3 March 2015
- char *name;(if structure don't have pointer can write pointer Person P3 = P1; if copy attribute by a int data;2 KB (271 words) - 11:20, 28 February 2012
- ...as a key to make SVM an effective tool for classifying linearly separable data. Here we see some examples of kernel functions, and the condition that det ...ance to hyperplane with same computational cost as training SVM in initial data space.9 KB (1,389 words) - 11:19, 10 June 2013
- The purpose is to generate decision tree using the training data. The idea: Ask a series of simple questions following a tree structure (linear 1-D).7 KB (1,082 words) - 11:23, 10 June 2013
- If sample data is pure i.e. small variance in the training data can yield large variations in decision rules obtained.6 KB (837 words) - 11:23, 10 June 2013
- Create maze structure containing the following * Structure's name NOUN w/ Capital Letter1 KB (232 words) - 05:24, 11 July 2012
- char *name;(if structure don't have pointer can write pointer Person P3 = P1; if copy attribute by a int data;3 KB (506 words) - 05:25, 11 July 2012
- *Each criterion imposes a certain structure on the data. *If the data conforms to this structure, the true clusters can be discovered.8 KB (1,214 words) - 11:24, 10 June 2013
- int *data; array->data[lineNumber++] = strtol(buffer,NULL,10);3 KB (449 words) - 05:25, 11 July 2012
- ...ic’s is very similar to the Edmond-Karp. By the way, with a special data structure which is called the Dynamic tree, we can improve the Dinic’s algorithm’15 KB (2,621 words) - 06:54, 21 March 2013
- void intpart(int badget, int pos, int *data) data[pos]==i;7 KB (993 words) - 05:25, 11 July 2012
- streaming data (next few lectures, focus on linklist only, and data type would just be integer)3 KB (488 words) - 09:58, 22 March 2012
- c. grow and shrink based on run-time needs(dynamic structure) /*data*/10 KB (1,667 words) - 05:26, 11 July 2012
- 3, three outcomes:1.file;2.structure;3.dynamic structure(linked list); Exam 2 covers: File I/O, Structure, Dynamic Structure,recursive6 KB (879 words) - 05:27, 11 July 2012
- 2.structure 3.dynamic structure (linked list)17 KB (2,470 words) - 05:28, 11 July 2012
- ...matted into CRSP's propreitary CRSPAccess database format, plus additional data tables that map the CRSP permanent company and security identifiers (PERMCO ...n major stock exchanges (NYSE, AMEX, NASDAQ) ||Covers basically accounting data for public, OTC and private companies11 KB (1,577 words) - 08:35, 23 April 2012
- ...n I use radix sort to sort objects like floating point number whose binary structure is well defined? I defined a new data type called bitFloat as follows:7 KB (1,030 words) - 11:27, 18 March 2013
- Anatomical imaging modalities only reveal the structure of an object, Figure 1, for example, compares MRI scans of two patients. Fu ...every <math>\theta</math> and <math>r</math>. Once you have collected your data, i.e the projections, you would want to form a three-dimensional representa8 KB (1,168 words) - 07:24, 26 February 2014
- =Physical Design and Data Acquisition= ...the object being scanned. As the bed passes the rotating gantry, multiple data scans are collected and processed in real time. The path traced by the gant9 KB (1,390 words) - 07:24, 26 February 2014
- ...ey emit a signal that can be decoded into a mapping of the body's internal structure. [[Image:intro_fig11.jpeg|400px|thumb|left|Fig 11: Effects of removing k-space data on a reconstructed phantom image. In A, image was obtained with full k-spac27 KB (4,777 words) - 07:25, 26 February 2014
- ...on. After that, the estimated parameters were used to classify the testing data with Bayes rule. What I found good in this slecture is that the idea and the whole structure were quite clear and the experiment was fairly illustrative. However, there2 KB (259 words) - 12:40, 2 May 2014
- ...BPE) would be similar or even identical for most of the time, the key idea(structure) for MLE and BPE is completely different. For Maximum Likelihood Estimation ...nditional densities and the priori could be obtained based on the training data.10 KB (1,625 words) - 10:51, 22 January 2015
- ...hat belong to class <span class="texhtml">''w''<sub>2</sub></span>. If the data is linear seperable, the discriminate function can be written as ...want to find <math>\textbf{c}\in\mathbb{R}^{n+1}</math> so that a testing data point <math>\textbf{y}_i</math> is labelled14 KB (2,241 words) - 10:56, 22 January 2015
- This slecture is well written, and organized in a good structure. Besides, visualizing the decision boundary of SVM is good to comprehend ho ...n kernel. IN THE PREVIOUS SECTION, IT IS MENTIONED THE DATA IS Ripley data set...3 KB (510 words) - 19:07, 5 May 2014
- ...still wish to discover some form of underlying structure in an unlabelled data set. Such a task falls under the category of unsupervised learning. ...data points in multidimensional space. For example, consider the following data set:8 KB (1,350 words) - 10:57, 22 January 2015
- =CT Scanner Structure= ...translates horizontally through the scanner, the scanner collects multiple data scans and processes them. Because the scanner is collecting as the patient7 KB (1,072 words) - 19:25, 9 February 2015
- ...ergy emission is used to create pinpoint specific nuclei of interest. This data makes up the projections used in reconstruction. ...ven exist because it is impossible for the atoms to be fixed in an ordered structure.14 KB (2,487 words) - 19:26, 9 February 2015
- 5. Data Encryption Standard (DES) ...aphy Paar Internal Structure of AES Katie Marsh and Divya Agarwal|Internal Structure of AES]]2 KB (187 words) - 16:17, 2 December 2015
- === '''Internal structure of DES''' === * DES structure is a Feistel network4 KB (704 words) - 05:11, 18 June 2015
- ...ite number of higher frequency components that can match the same discrete data, so the frequency domain of a discrete signal contains '''all''' of these f Look familiar? We can now see quite clearly the structure of the frequency domain of our discrete signal. It consists of impulses at12 KB (2,004 words) - 20:37, 2 December 2015
