'Previously unseen' presentation slideshows

Classification: Basic Concepts and Decision Trees

Classification: Basic Concepts and Decision Trees. A programming task. Classification: Definition. Given a collection of records ( training set ) Each record contains a set of attributes , one of the attributes is the class .

1.34k views • 124 slides

Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation

1.97k views • 108 slides

CIS664-Knowledge Discovery and Data Mining

CIS664-Knowledge Discovery and Data Mining. Classification and Prediction. Vasileios Megalooikonomou Dept. of Computer and Information Sciences Temple University. (based on notes by Jiawei Han and Micheline Kamber). Agenda. What is classification? What is prediction?

1.08k views • 92 slides

Classification: Basic Concepts and Decision Trees

Classification: Basic Concepts and Decision Trees. A programming task. Classification: Definition. Given a collection of records ( training set ) Each record contains a set of attributes , one of the attributes is the class .

1.17k views • 71 slides

Corpora and Translation

Corpora and Translation. Parallel corpora Statistical MT (not to mention: Corpus of translated text, for translation studies). Parallel corpora. Corpora of texts and their translations

684 views • 38 slides

Ensemble Classifiers

Ensemble Classifiers. Prof. Navneet Goyal. Ensemble Classifiers. Introduction & Motivation Construction of Ensemble Classifiers Boosting (Ada Boost) Bagging Random Forests Empirical Comparison. Introduction & Motivation. Suppose that you are a patient with a set of symptoms

546 views • 37 slides

COMP 875: Introductions

COMP 875: Introductions. Name, year, research area/group Why are you interested in machine learning and how does it relate to your research? What topics would you like to see covered in this course?. What is Machine Learning?.

485 views • 36 slides

Knowledge Discovery & Data Mining

Knowledge Discovery & Data Mining. process of extracting previously unknown , valid , and actionable (understandable) information from large databases Data mining is a step in the KDD process of applying data analysis and discovery algorithms

737 views • 30 slides

CURRICULUM OVERVIEW

294 views • 21 slides

Multi-Layer Perceptrons Michael J. Watts mike.watts.nz

Multi-Layer Perceptrons Michael J. Watts http://mike.watts.net.nz. Lecture Outline. Perceptron revision Multi-Layer Perceptrons Terminology Advantages Problems. Perceptron Revision. Two neuron layer networks Single layer of adjustable weights Feed forward network

341 views • 21 slides

System Health and Intrusion Monitoring: A New Approach to Triggering Intrusion Tolerant Mechanisms (SHIM)

System Health and Intrusion Monitoring: A New Approach to Triggering Intrusion Tolerant Mechanisms (SHIM). Calvin Ko, NAI Labs , Network Associates Karl Levitt, UC Davis July 17, 2000. Technical Objectives. Continuous monitoring of the health of a system

344 views • 19 slides

Reinforcement learning (Chapter 21)

318 views • 18 slides

An Introduction to Detection of News Events Mouli Venkataramani

An Introduction to Detection of News Events Mouli Venkataramani . References James Allan et al, topic detection and tracking pilot study final report, proceedings of the DARPA broadcast news transcription and understanding workshop, Feb 1998.

469 views • 17 slides

Implementing Automatic Value Extraction from Structured Web Pages

Implementing Automatic Value Extraction from Structured Web Pages. Varun Ganapathi, Jonathan Pines, Josh Wiseman. Problem. Context: Many web pages are generated by applying a template to structured data Goal: Given a set of pages generated from a template, infer the template.

184 views • 8 slides