NDLI: Select Objective Functions for Multiple Criteria Programming Classification

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WI-IAT Workshops 2008 Title Page i

WI-IAT Workshops 2008 Title Page iii

WI-IAT Workshops 2008 Copyright Page

WI-IAT Workshops Preface

A Method for Integration across Text Corpus and WordNet-Based Ontologies

A Decisional Trust Implementation on a Maintenance System by the Means of Decisional DNA and Reflexive Ontologies

Temporal Changes in Connection Patterns of an Email-Based Social Network

A Study on Community Formation in Collaborative Tagging Systems

Collaborative Support for Community Data Sharing

PRIMO - Towards Privacy Aware Image Sharing

Interleaving Ontology Mapping for Online Semantic Annotation on Semantic Wiki

Web Information Retrieval Support Systems: The Future of Web Search

Considering Data-Mining Techniques in User Preference Learning

Adaptive Information Filtering Based on PTM Model (APTM)

A Method for Query Expansion Using the Related Word Extraction Algorithm

A Vector Space Model on Hierarchical Structures with Dynamic Mapping Operator Creation

Semantic Browsing of a Domain Specific Resources: The Corese-NeLI Framework

Information Filter for Ambiguous Information Retrieval

Collaborative Filtering Recommender Systems Using Tag Information

The Effect of Context on the Predictive Performance of Segmentation

Cross-Situation Trust Reasoning

A Computational Distributed Reputation Model for B2C E-commerce

Context-Dependent Reputation Management for Soft Security in Multi Agent Systems

An Enhanced Similarity Measure for Utilizing Site Structure in Web Personalization Systems

Higher-Order Logic Recommender System

Interest Mining and Recommender System for Local Activities

Spatial Relation Based Object Extraction from the World Wide Web

On Modelling and Synthetically Generating Web Usage Data

Generating Personalized Summaries Using Publicly Available Web Documents

Integrating Trust with Public Reputation in Location-Based Social Networks for Recommendation Making

Towards a SVM-struct Based Active Learning Algorithm for Least Cost Semantic Annotation

Discovering and Modelling Multiple Interests of Users in Collaborative Tagging Systems

Pervasive Web News Recommendation for Visually Impaired People

Improving the Amazon Review System by Exploiting the Credibility and Time-Decay of Public Reviews

Web-Based Intelligent Photo Browser for Flood of Personal Digital Photographs

VisualChat: A Visualization Tool for Human-Machine Interaction

An Epiphyte Architecture to Enrich Content in an Existing Educational Website

Verbal Explaining of the Behavior of Time-Series Data

Implementing News Article Category Browsing Based on Text Categorization Technique

Semantic Wiki Where Human and Agents Collaborate

KnownStyleNoLife.com: Resource Sharing System for Explicit Fashion-Related Image Annotation

Application of BBS with Visual Representation to Community Anticrime Actions Support

Discovering, Visualizing and Evaluating Online Bipartite Communities

Interactive Spam Filtering with Active Learning and Feature Selection

Comparison of Performance for SVM Based Relevance Feedback Document Retrieval in Several Vector Space Models

Onomatopeta!: Developing a Japanese Onomatopoeia Learning-Support System Utilizing Native Speakers Cooperation

Creating and Strengthening Connections among Employees with a Blog Service

Comprehension of Invisible Specialty in Research Field through Interaction with Novice Researchers

A Development Framework for Mobile User-Interfaces Based on HTML Centric Dependency Injection

Implicit Groups of Web Pages as Constrained Top N Concepts

Intelligent Web Interactions - What, When and How?

E-government System Using an Integrated Call Center System and WWW

Research on the Web Information System Development Platform Based on MVC Design Pattern

Specification of SA-RBAC Policy Based on Colored Petri Net

E-government for the People: Learn from North America and European Union

An Emergency Decision Support System Based on the General Decision Process

Extraction and Representation of Feature Events Based on a Knowledge Model

The Model Representation in Emergency Management System

Study on the Authorization Management Model Based on Organization in E-government

The Use of a Hybrid Machine Translation System in China's Government Portals

Research about Security Audit Platform in E-Government System

E-government Web Mining Tool Design and Implementation Based on the Semantic Web

Research on Dynamic Delegation Model

Interactive Environment Based on Internet Technologies for Psychometric Diagnostics, Psychotherapy and Collaboration

The Cognitive Processing Mechanism for the Players' Rule in MMO Game

Personalized Ontology-Based Query Expansion

Towards a Fuzzy Answer Set Semantics for Residuated Logic Programs

Acquiring Vague Temporal Information from the Web

Filtering Short Queries by Means of Fuzzy Semantic-Lexical Relations for Meta-searchers Using WordNet

Combining Fuzzy Description Logics and Fuzzy Logic Programs

Conjunctive Query Answering over an f-ALC Knowledge Base

Word Similarity Based on an Ensemble Model Using Ranking SVMs

Research on Automatic Acquiring of Chinese Synonyms from Wiki Repository

An Ontology-Based Approach to Text Summarization

Concept Acquisition from Corpora: Using an Automatic Clustering Method Based on Chinese Measure Words

Concept Extraction and Clustering for Topic Digital Library Construction

The Building of a CBD-Based Domain Ontology in Chinese

Research on the Key Technology Based-NLP Of Chinese Medicine Pulse's Mathematical Quantifying

Personal Name Recognition Based on Categorized Linguistic Knowledge

Populating Ontologies in the eTourism Domain

A Rule-Based Metric for Calculating Semantic Relatedness Score for the Motion Picture Industry

Exploiting Hyponymy in Extracting Relations and Enhancing Ontologies

Corpus-Based Extraction of Collocations in Chinese

WCONS: An Ontology Mapping Approach Based on Word and Context Similarity

Competency-Based Intelligent Curriculum Sequencing: Comparing Two Evolutionary Approaches

Competence Formation through Learning Objects in a Multiagent Virtual Educational Environment

Research into Learning in an Intelligent Agent Augmented Multi-user Virtual Environment

Multidimensional Adaptations for Open Learning Management Systems

Concept Map Mining: A Definition and a Framework for Its Evaluation

Intelligent Support for Inclusive eLearning

nAble Adaptive Scaffolding Agent - Intelligent Support for Novices

Personalized Advertising Strategy for Integrated Social Networking Websites

Analysis of Relations in eLearning

Toward a Linkography Design Visualization Tool on Web 2.0 Social Network Type Interface

Social and Personal Context Modeling for Contact List Recommendation on Mobile Device

Web Communities Defined by Web Page Content

Understanding Social Networks Using Formal Concept Analysis

Vector Opinion Dynamics: An Extended Model for Consensus in Social Networks

Identifying Opinion Leaders in BBS

Link-Based Anomaly Detection in Communication Networks

Extracting and Analysing Social Networks of Physicians

Kernel-Based Nonparametric Regression Method

Using k-Interactive Measure in Optimization-Based Data Mining

Select Objective Functions for Multiple Criteria Programming Classification

Data Mining for Seismic Exploration

A Utility-Based Web Content Sensitivity Mining Approach

DEA-Based Comprehensive Evaluation of Intelligent Knowledge

Enabling a Meta-synthetic Discovery Workshop for Social Consensus Process

Inter-frame Change Directing Online Clustering of Multiple Moving Objects for Video-Based Sensor Networks

A Bias-Variance Analysis of Multiple Criteria Linear Programming Classification Ensembles

Particle Swarm Optimization Based Clustering of Web Usage Data

Effective Ranking and Recommendation on Web Page Retrieval by Integrating Association Mining and PageRank

Tailoring Taxonomies for Efficient Text Categorization and Expert Finding

Keyword-Labeled Classification with Auxiliary Unlabeled Documents

Web Image Clustering Based on Multi-instance

Segmentation and Tracking for Vision Based Human Robot Interaction

Effects of Autonomy, Traffic Conditions and Driver Personality Traits on Attitudes and Trust towards In-Vehicle Agents

Extracting Key Factors to Design Applications in Ambient Intelligence Environment

An Ambient Intelligent Agent Model Using Controlled Model-Based Reasoning to Determine Causes and Remedies for Monitored Problems

Affect as Information about Users' Attitudes to Conversational Agents

A Framework for Perceptual Functions of Symbiotic Computing

A New Approach to Emotion Assessment Based on Biometric Data

Modeling Support for Simulating Traffic Intensive Web Applications

A Pragmatic Approach to Realizing Context-Aware Personal Services

Indexing Method for Transitive Relationships of Product Information

An Analysis of Visual and Presentation Factors Influencing the Design of E-commerce Web Sites

Modelling User Behaviour for Web Recommendation Using LDA Model

Winner Price Monotonicity for Approximated Combinatorial Auctions

An Efficient Approach to Compose Web Services

An Approach to Ranking Participants Based on Relationship Network in E-commerce

Privacy with Web Serivces: Intelligence Gathering and Enforcement

FAQIH: Framework for Agent-Based Query-Enabled Integrated Information for Health and Nutrition

Partner Selection Mechanisms for Agent Cooperation

Data Mining-Driven Analysis and Decomposition in Agent Supply Chain Management Networks

Interaction of Agents and Data Mining in Ubiquitous Environment

An Agent-Based Approach to Mine Transcriptional Regulatory Elements

A Multi-agents Approach to Knowledge Discovery

An Agent-Oriented Data Mining Framework for Mass Customization in the Automotive Industry

A Learning Process Using SVMs for Multi-agents Decision Classification

INSPIRE: An Integrated Agent Based System for Hypothesis Generation within Cancer Datasets

An ACO-Based User Community Preference Clustering System for Customized Content Service in Broadband New Media Platforms

CAKE - Classifying, Associating and Knowledge DiscovEry - An Approach for Distributed Data Mining (DDM) Using PArallel Data Mining Agents (PADMAs)

Acquiring Explicit User Goals from Search Query Logs

How Emotional Mechanism Learn and Helps Other Types of Learning in a Cognitive Agent

Hybrid Search Methods for Automatic Discovery of Computational Agent Schemes

F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments

Towards a Self-Organising Mechanism for Learning Adaptive Decision-Making Rules

A Distributed Multi-agent System implementation of the Human-Friendly MAS for Mining Stock Data

Extending a Defeasible Reasoner with Modal and Deontic Logic Operators

Solving Sum and Product Riddle via BDD-Based Model Checking

Time and Defeasibility in FIPA ACL Semantics

An Abstract Model for Dynamic Access Control Architectures

Analytic Tableaux for Verifying Agent Beliefs

Levels of Modalities for BDI Logic

Recommending in Inclusive Lifelong Learning Scenarios: Identifying and Managing Runtime Situations

Huge Data Mining Based on Rough Set Theory and Granular Computing

Collective User Behaviour and Tag Contextualisation in Folksonomies

A Scalable Lightweight Distributed Crawler for Crawling with Limited Resources

Weblogs, a Promising New Form for E-democracy?

Enlightenment 2.0: Facilitating User Control in Distributed Collaborative Applications

Ranking Web Pages Using Machine Learning Approaches

Utilizing Non-redundant Association Rules from Multi-level Datasets

Two-Stage Model for Information Filtering

Exception Mining on Multiple Time Series in Stock Market

Extreme Conditions for Intelligent Agents

Negotiation Protocol according to the Perturbation Impact In a Multi-agent Supply Chain System for the Crisis Management

WI-IAT Workshops 2008 Author Index

WI-IAT Workshops 2008 Publisher's Information

Select Objective Functions for Multiple Criteria Programming Classification

Content Provider	ACM Digital Library
Author	Li, Aihua Tian, Yingjie Zhu, Xingquan Zhang, Peng Zhang, Zhiwang
Abstract	Existing supervised learning models are generally built upon the basis of only one single objective function, through the minimizing of the square-loss (neural networks) or the minimizing of the information entropy (decision tree). Due to the inherent complexity of the real-life data, learning models merely based on only one single objective function are always inadequate. Consequently, many well-known classification models adopt multiple objective optimization to guide the learning process. For example, Fisher’s linear discriminant analysis (LDA) is built by maximizing the “between-class variance” (the first objective function) and minimizing the “within-class variance” (the second objective function); SVM is built by maximizing the “marginal distance” (the first objective function) and minimizing the “error distance” (the second objective function). In this paper, we combine Fisher’s LDA (maximizing the “between-class variance”) measure and SVM’s minimizing the “error distance” measure to formulate a new multiple objective classification model, namely Minimal Error and Maximal Between-class Variance (MEMBV) model. Experimental results demonstrate the performance of the proposed new model on synthetic and real-life datasets.
Starting Page	420
Ending Page	423
Page Count	4
File Format	PDF
ISBN	9780769534961
DOI	10.1109/WIIAT.2008.145
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-12-09
Access Restriction	Subscribed
Subject Keyword	Lda svm membv mclp
Content Type	Text
Resource Type	Article

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