'Rule based' presentation slideshows

Introduction to Rule-Based Reasoning

Introduction to Rule-Based Reasoning. Jacques Robin. Outline. Rules as a knowledge representation formalism Common characteristics of rule-based systems Roadmap of rule-based languages Common advantages and limitations Example practical application of rules: declarative business rules

1.21k views • 95 slides

Using Weight-controlled Token Matching to Extract Data From HTML Files

Using Weight-controlled Token Matching to Extract Data From HTML Files. Yan Xu, Tok Wang Ling Dept. of Computer Science National University of Singapore (xuyan, lingtw)@comp.nus.edu.sg. Outline. Outline. Motivation and background Our approach Generate wrapper Extraction data

558 views • 46 slides

Expert Systems

Expert Systems. Dr. Samy Abu Nasser. Introduction Knowledge Representation Semantic Nets, Frames, Logic Reasoning and Inference Predicate Logic, Inference Methods, Resolution Reasoning with Uncertainty Probability, Bayesian Decision Making Expert System Design ES Life Cycle.

591 views • 44 slides

CS 4705 Part of Speech Tagging

CS 4705 Part of Speech Tagging. Slides adapted from Bonnie Dorr, Julia Hirschberg, Dan Jurafsky, and James Martin. Outline. Finishing up Last time Evaluation Other Methods Transformation rule based Markov Chains. Evaluating performance. How do we know how well a tagger does?

718 views • 42 slides

655 views • 41 slides

Introduction to text-to-speech synthesis

Introduction to text-to-speech synthesis. Krzysztof Marasek. Motivation. Increasing and growing popularity of interactive voice response (IVR) systems makes the use of text-to-speech (TTS) systems more appealing

682 views • 34 slides

Comparison of machine and human recognition of isolated instrument tones

Comparison of machine and human recognition of isolated instrument tones. Ichiro Fujinaga McGill University. Overview. Introduction Exemplar-based learning k-NN classifier Genetic algorithm Machine recognition experiments Comparison with human performance Conclusions.

624 views • 30 slides

Artificial Intelligence Chapter 1: Introduction

Artificial Intelligence Chapter 1: Introduction. Michael Scherger Department of Computer Science Kent State University. What is Intelligence?.

808 views • 30 slides

Transforming XML The XSLT Language

Transforming XML The XSLT Language. Michael H. Kay. Topics. XSLT as a language. Usability and fitness for purpose. Academic interest. Open Source and Investment. Success in the market. Success in the market. Success in the market. Technology & Architecture. SAXON as a product.

356 views • 25 slides

A Sentence Boundary Detection System

A Sentence Boundary Detection System. Student: Wendy Chen Faculty Advisor: Douglas Campbell. Introduction. People use . ? and ! End-of-sentence marks are overloaded. Introduction. Period - most ambiguous. Decimals, e-mail addresses, abbreviations, initials in names, honorific titles.

488 views • 20 slides

Software Framework for Managing Heterogeneity in Mobile Collaborative Systems

361 views • 19 slides

Unsupervised Training for Overlapping Ambiguity Resolution in Chinese Word Segmentation

Unsupervised Training for Overlapping Ambiguity Resolution in Chinese Word Segmentation. Mu Li, Jianfeng Gao, Changning Huang (Microsoft Research, Asia Beijing 100080, China) Jianfeng Li (University of Science and Technology of China, Hefei, 230027, China). Abstract.

350 views • 19 slides

Money Laundering, Tax Evasion, Capital Flight, Tax Havens,

Money Laundering, Tax Evasion, Capital Flight, Tax Havens, the Rule based and the Risk Based Approach: Keep it Simple by Brigitte Unger Paper prepared for the TNI Seminar on Money Laundering, Tax Evasion and Financial Regulation, 12th and 13th June 2007, Amsterdam,

456 views • 17 slides

Gameness and Negotiable Consequences

Gameness and Negotiable Consequences. Introduction. Games often rely on combination of rule-governed action and representation. The role computing in computer games is to facilitate or stand in for rules for action.

321 views • 16 slides

DCU meets MET: Bengali and Hindi Morpheme Extraction

Debasis Ganguly, Johannes Leveling, Gareth J.F. Jones CNGL, School of Computing, Dublin City University, Ireland. DCU meets MET: Bengali and Hindi Morpheme Extraction. Outline. Motivation Task Description Bengali Stemming Approach Hindi Stemming Approach Results

221 views • 14 slides

Automaticity

Automaticity. Jeri Stickney Phillips. Contents. Discussion of Research Lower-Elementary Lesson Plan Upper-Elementary Lesson Plan High School Lesson Plan References. Research - Definition. Automaticity is a part of reading fluency

309 views • 13 slides

Rule-based engineering

Rule-based engineering the target specification is produced following a set of translation rules . Transformation-based engineering the target specification is produced by application of a chain of substitution operators to the source specifications. 1. Introduction.

256 views • 13 slides

Ontology, RDF, SW for Chemical Structures

191 views • 12 slides

Rule-Based vs. Risk-Based approaches to control. The third EU AML/CFT Directive.

388 views • 11 slides

Development of a German-English Translator

Felix Zhang TJHSST Computer Systems Research Lab 2007-2008 Period 5. Development of a German-English Translator. Summary of previous quarters. Developed a functional translator for simple German sentences to simple English sentences All rule-based, no statistical methods, yet

246 views • 10 slides