Integrating Semantic Templates with Decision Tree for Image Semantic Learning (2009)
Ying Liu, Dengsheng Zhang, Guojun Lu, Ah-hwee Tan
Abstract. Decision tree (DT) has great potential in image semantic learning due to its simplicity in implementation and its robustness to incomplete and noisy data. Decision tree learning naturally...
Wikipedia2Onto --- Adding Wikipedia Semantics to Web Image Retrieval (2009)
Wang, Huan, Jiang, Xing, Chia, Liang-Tien, Tan, Ah-Hwee
This paper describes our preliminary attempt to automatically construct large-scale multi-modality ontology for web image classification. For text part we take advantage of both structural and...
Discovering Causal Dependencies in Mobile Context-Aware Recommenders (2008)
Mobile context-aware recommender systems face unique challenges in acquiring context. Resource limitations make minimizing context acquisition a practical need, while the uncertainty inherent to the...
A Hybrid Architecture Combining Reactive Plan Execution and Reactive Learning (2008)
Samin Karim, Liz Sonenberg, Ah-hwee Tan
Abstract. Developing software agents has been complicated by the problem of how knowledge should be represented and used. Many researchers have identified that agents need not require the use of...
Undetected errors in the expression measurements from highthroughput DNA microarrays and protein spectroscopy could seriously affect the diagnostic reliability in disease detection. In addition to a...
Self-Organizing Neural Architecture for Reinforcement Learning (2008)
Abstract. Self-organizing neural networks are typically associated with unsupervised learning. This paper presents a self-organizing neural architecture, known as TD-FALCON, that learns cognitive...
A Hybrid of Plot-based and Character-based Interactive Storytelling (2008)
Yundong Cai, Chunyan Miao, Ah-hwee Tan, Zhiqi Shen
Abstract. Interactive storytelling in the virtual environment attracts a lot of research interests in recent years. Story plot and character are two most important elements of a story. Based on these...
CHAPTER? WEB STRUCTURE ANALYSIS FOR INFORMATION MINING (2008)
Our approach to extracting information from the Web is to analyze the structural content of web pages through exploiting the latent information given by HTML tags. For each specific extraction task,...
Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning (2008)
TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD-FALCON still relies...
of wireless Local Area Networks (WLANs), WLAN-based positioning (2008)
Quang Tran, Juki Wirawan Tantra, Chuan Heng Foh, Ah-hwee Tan, Kin Choong Yow
Abstract ā With the rapid development and wide deployment
tive Resonance Associative Map (2007)
Ji He, Ah-hwee Tan, Chew-lira Tan
This paper reports our evaluation of
Ji He, Ah-hwee Tan, Chew-lim Tan
Abstract. This paper reports our comparative evaluation of three machine learning methods, namely k Nearest Neighbor (kNN), Support Vector Machines (SVM), and Adaptive Resonance Associative Map...
Machine Learning Methods for Chinese Web Page Categorization (2007)
Ji He, Ah-hwee Tan, Chew-lim Tan
This paper reports our evaluation of k Nearest Neighbor (kNN), Support
Web Structure Analysis for Information Mining (2007)
Our approach to extracting information from the web analyzes the structural content of web pages through exploiting the latent information given by HTML tags. For each specific extraction task, an...
Machine Learning Methods for (2007)
Chinese Web Page, Ji He, Ah-hwee Tan, Chew-lim Tan
This paper reports our evaluation of k Nearest Neighbor (kNN), Support Vector Machines (SVM), and Adaptive Resonance Associative Map (ARAM) on Chinese web page classification.
Web Structure Analysis for Information Mining (2007)
Our approach to extracting information from the web analyzes the structural content of web pages through exploiting the latent information given by HTML tags. For each specific extraction task, an...
Ontosearch: A full-text search engine for the semantic web (2006)
OntoSearch, a full-text search engine that exploits ontological knowledge for document retrieval, is presented in this paper. Different from other ontology based search engines, OntoSearch does not...
Selforganizing cognitive agents and reinforcement learning in multi-agent environment (2005)
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value functions of the...
Dynamically-optimized context in recommender systems (2005)
Traditional approaches to recommender systems have not taken into account situational information when making recommendations, and this seriously limits the relevance of the results. This paper...
Modified ART 2A Growing Network Capable of (2004)
Generating Fixed Number, Ji He, Ah-hwee Tan, Chew-lim Tan, Senior Member
This paper introduces the Adaptive Resonance Theory under Constraint (ART-C 2A) learning paradigm based on ART 2A, which is capable of generating a user-defined number of recognition nodes through...
On Machine Learning Methods for Chinese Documents Classification (2003)
Ji He, Ah-hwee Tan, Chew-lim Tan
Abstract. This paper reports our comparative evaluation of three machine learning methods, namely k Nearest Neighbor (kNN), Support Vector Machines (SVM), and Adaptive Resonance Associative Map...
ART-C: A neural architecture for selforganization under constraints (2002)
Ji He, Ah-hwee Tan, Chew-lim Tan
Abstract--- This paper proposes a novel ART-based neural architecture known as ART-C (ART under Constraints) that performs online clustering of pattern sequences subject to the constraints on the...
ART-C: A Neural Architecture for (2002)
Ji He, Ah-hwee Tan, Chew-lim Tan
This paper proposes a novel ART-based neural architecture known as ART-C (ART under Constraints) that performs online clustering of pattern sequences subject to the constraints on the recognition...
FOCI: Flexible organizer for competitive intelligence (2001)
Hwee-leng Ong, Ah-hwee Tan, Jamie Ng, Hong Pan, Qiu-xiang Li
This paper describes how an integrated web-based application, code-named FOCI (Flexible Organizer for Competitive Intelligence), can help the knowledge worker in the gathering, organizing, tracking,...
FOCI: A Personalized Web Intelligence System (2001)
Ah-hwee Tan, Hwee-leng Ong, Hong Pan, Jamie Ng, Qiu-xiang Li
This paper introduces a system known as Flexible Organizer for Competitive Intelligence (FOCI) that provides an integrated platform for gathering, organizing, tracking, and dissemination of...
Topic detection, tracking, and trend analysis using self-organizing neural networks (2001)
Abstract. We address the problem of Topic Detection and Tracking (TDT) and subsequently detecting trends from a stream of text documents. Formulating TDT as a clustering problem in a class of...
Topic Detection, Tracking and Trend Analysis Using Self-Organizing Neural Networks (2001)
We address the problem of Topic Detection and Tracking (TDT) and subsequently detecting trends from a stream of text documents. Formulating TDT as a clustering problem in a class of self-organizing...
A Comparative Study on Chinese Text Categorization Methods (2000)
Abstract. This paper reports our comparative evaluation of three machine learning methods on Chinese text categorization. Whereas a wide range of methods have been applied to English text...
A Comparative Study on Chinese Text Categorization Methods (2000)
Ji He, Ah-hwee Tan, Chew-lim Tan
Abstract. This paper reports our comparative evaluation of three machine learning methods on Chinese text categorization. Whereas a wide range of methods have been applied to English text...
A Comparative Study on Chinese Text Categorization Methods (2000)
Ji He, Ah-hwee Tan, Chew-lim Tan
This paper reports our comparative evaluation of three machine learning methods on Chinese text categorization. Whereas a wide range of methods have been applied to English text categorization,...
A Comparative Study on Chinese Text Categorization Methods (2000)
Ji He, Ah-hwee Tan, Chew-lim Tan
. This paper reports our comparativeevaluation of three machine learning methods on Chinese text categorization. Whereas a wide range of methods have been applied to English text categorization,...
Machine Learning Methods for Chinese Web Page Categorization (2000)
Ji He, Ah-hwee Tan, Chew-lim Tan
This paper reports our evaluation of k Nearest Neighbor #kNN#, Support Vector Machines #SVM#, and Adaptive Resonance Associative Map #ARAM# on Chinese web page classi #cation. Benchmark experiments...
Text Mining: The state of the art and the challenges (1999)
Text mining, also known as text data mining or knowledge discovery from textual databases, refers to the process of extracting interesting and non-trivial patterns or knowledge from text documents....
Text mining: Promises and challenges (1999)
Text mining, also known as knowledge discovery from text, and document information mining, refers to the process of extracting interesting patterns from very large text corpus for the purposes of...
Text Mining: The state of the art and the challenges (1999)
Text mining, also known as text data mining or knowledge discovery from textual databases, refers to the process of extracting interesting and non-trivial patterns or knowledge from text documents....
Learning User Profiles for Personalized Information Dissemination (1998)
Ah-hwee Tan, Christine Teo, Heng Mui Keng
Personalized information systems represent the recent effort of delivering information to users more effectively in the modern electronic age. This paper illustrates how a supervised Adaptive...
Learning User Profiles for Personalized Information Dissemination (1998)
Personalized information systems represent the recent e#ort of delivering information to users more e#ectively in the modern electronic age. This paper illustrates how a supervised Adaptive Resonance...
tering. Given a pair of input and output patterns, the algorithm first identifies a cluster node based on the input pattern. It then checks if the input and output templates of the cluster node are...
Pergamon CONTRIBUTED ARTICLE 0893-6080(94)00092-1 Adaptive Resonance Associative Map (1994)
Abstract--This article introduces a neural architecture termed Adaptive Resonance Associative Map ( ARAM) that extends unsupervised Adaptive Resonance Theory (ART) systems for rapid, yet stable,...