PPT-Classification Instance-based method:

nearest neighbor Probabilistic models Naive Bayes Logistic Regression Linear models Perceptron SVM Decision models Decision Trees Boosted Decision Trees Random Forest Outline a toolbox of useful algorithms concepts. Nineteenth Annual Strategic and Emerging Technologies Workshop. Vasundhara Chakraborty, Victoria Chiu, and Miklos Vasarhelyi. San Francisco July 31, 2010. Outline. 2. Automatic Classification of Accounting Literature. Outline. Motivation. Multiple Instance Learning (MIL). Diverse Density. Single Point Concept. Disjunctive Point Concept. SVM Algorithms for MIL. Single Instance Learner (SIL). Sparse MIL. mi-SVM. MI-SVM. Methods. There are three major components of a class definition.. 1. Instance . variables . (also called . fields in the API documentation).. 2. Constructors. .. 3. Methods. .. The following notes will show how to write code for a user designed class, dealing with each of those three parts in order. . Class State. Instructor: Prasun Dewan. Prerequisites. Interfaces. Counting Instances of . ACartesianPoint. Incremented Number of Instances. Creating . MidPoint. Specifying Two End Points. Type of Methods. CLASSIFICATION OF LIVING THINGS. ABOUT HOW MANY LIVING THINGS EXIST ON EARTH?. 1.5 MILLION KNOWN ORGANISMS. THOUSANDS MORE IDENTIFIED EACH YEAR. ABOUT 10 MILLION DIFFERENT ORGANISMS BELIEVED TO EXIST ON EARTH. 2013 international conference on computing , networking and communications, communications and information security symposium. Author : . Saeed. . Nari. , Ali A. . Ghorbani. . /17. 1. Speaker : Wen Lin Yu . An example of something.. I know it is cold out. ;. . f. or . instance. , there is snow outside.. Do you have a lot of Christmas presents to play with now that it is January? For . instance. , video games and Legos?. Different ways to write code. As usual, there are various ways of writing valid code that accomplishes the same thing. . Some of the methods in the Cup6 class are candidates for rewriting. . One will be taken as an example and the others could be rewritten using the same logic and syntax, if so desired. . Object-oriented programming (OOP) revolves around. Defining classes. Creating instances of classes (objects) and interacting with the objects through message passing. This paradigm differs from traditional procedural programming where you have. Lecture Slides #3: Introduction to OOD S1 . 2015. Version 1.1 of 2015-03-12: added . return. to code on slides 10, 13. Agenda. COMPSCI 230: IOOD. 2. Topics:. Software Design (vs. hacking). Object-Oriented Design. Vehicle (for a car dealership). Attributes. Primary Key (1). Instance attribute (4). Class Attribute (1). Method. Constructor methods (2). Instance Method. Accessor. methods (1 get & 1 set). Processing method (1). Mirza Muhammad Waqar Expert/rule based classification 1 Contact: mirza.waqar@seecs.edu.pk Lecture Overview Image classification basics Image and feature spaces Supervised vs Unsupervised classification Dr. Alexander Panchenko. Language Technology Group -- TU Darmstadt. panchenko@lt.informatik.tu-darmstadt.de. Agenda. . Task. Method. Evaluation. Results. Based on participation in SemEval 2016. “Taxonomy Extraction Evaluation” Task. When modeling a problem using a finite element program, it is very important to check whether the solution has converged. . The . word convergence is used because the output from the finite element program is converging on a single correct solution. In order to check the convergence, more than one solution to the same problem are required. If the solution is dramatically different from the original solution, then solution of the problem is not converged. However, if the solution does not change much (less than a few percent difference) then solution of the problem is considered converged..