Ji He

Modified ART 2A Growing Network Capable of (2004)

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...

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...

Information Retrieval and Clustering W. Wu and H. Xiong (Eds.) pp. -- - -- c (2004)

W. Wu, Ji He, Ah-hwee Tan, Chew-lim Tan

Contents 1 Introduction 2 2 Clustering Process: A Brief Review 3 2.1 Pattern Representation, Feature Selection and Feature Extraction . 3 2.2 Pattern Proximity Measure . . . . . . . . . . . . . . . ....

Initialization of Cluster Refinement Algorithms: (2004)

Ji He, Man Lan, Chew-lim Tan, Sam-yuan Sung, Hwee-boon Low

Various iterative refinement clustering methods are dependent on the initial state of the model and are capable of obtaining one of their local optima only. Since the task of identifying the global...

A Comparative Study on (2004)

Unsupervised Learning for Document Classification: Feasibility, Limitation, and the Bottom Line (2004)

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,...

Ji He, Chew-lim Tan, Hwee-boon Low, Dan Shen

While unsupervised learning methods are usually proposed to handle document clustering, in the literature, there exist practices that apply these methods to document classification as well. This...

Machine Learning Methods for (2004)

On Machine Learning Methods for Chinese Document Categorization (2003)

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.

Self-organizing Neural Networks for Efficient Clustering of Gene Expression Data (2003)

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(ARAM) for...

Ji He, Chew-lim Tan

Clustering of gene expression patterns is of great value for the understanding of the various molecular biological processes. While a number of algorithms have been applied to gene clustering, there...

Machine Learning Methods for (2002)

Ji He, Ah-hwee Tan, Chew-lira Tan

This paper reports our evaluation of k Nearest Neighbor (kNN), Support Vector Machines (SVM), and Adap- tive Resonance Associative Map (ARAM) on Chinese web page clas- siftcation. Benchmark...

On Quantitative Evaluation of Clustering Systems (2002)

W. Wu, Ji He, Ah-hwee Tan, Chew-lim Tan

Contents 1 Introduction 2 2 Clustering Process: A Brief Review 3 2.1 Pattern Representation, Feature Selection and Feature Extraction . 3 2.2 Pattern Proximity Measure . . . . . . . . . . . . . . . ....

ART-C: A Neural Architecture for Self-Organization Under Constraints (2002)

On Machine Learning Methods for Chinese Document Categorization (2002)

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...

Machine Learning Methods for Chinese Web Page Categorization (2002)

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 (ARAM) for...

A Comparative Study on Chinese Text Categorization Methods (2002)

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.

Protocol-Inspired Hardware Testing (2002)

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,...

Sarolta Dibuz, Katalin Tarnay, Proc Testing, Ji He, Kenneth J. Turner

The relevance of protocol conformance testing techniques to hardware testing is discussed. It is shown that the ioconf (input-output conformance) approach used in protocol testing can be applied to...

Machine Learning Methods for Chinese Web Page Categorization (2000)

A Comparative Study on Chinese Text Categorization Methods (2000)

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...

A Comparative Study on Chinese Text Categorization Methods (2000)

. 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,...

Modelling and Verifying Synchronous Circuits in (2000)

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,...

Ji He, Kenneth J. Turner, Stirling Fk La

This report investigates modelling and verifying synchronous circuits in DILL (Digital Logic in LOTOS). The synchronous circuit model used here is quite similar to the classical one exploited in...

Specification and Verification of Synchronous Hardware using (2000)

Timed DILL: Digital Logic in LOTOS (1970)

This paper investigates specification and verification of synchronous circuits using DILL (Digital Logic in LOTOS). After an overview of the DILL approach, the paper focuses on the characteristics of...

Extended DILL: Digital Logic in LOTOS (1970)

A timed extension to DILL (DIgital Logic in LOTOS) is discussed. The extension is based on ETLOTOS (Enhanced Timed LOTOS) and is used to specify timed digital logic. The approach places timing...

Modelling and Verifying Synchronous Circuits in (1970)

DILL (Digital Logic in LOTOS) is a language and an approach to specify digital logic in LOTOS; the initial version of DILL was developed in 1993 at Stirling. This technical report investigates...

Specification and Verification of Synchronous Hardware using LOTOS (1970)

This report investigates modelling and verifying synchronous circuits in DILL (Digital Logic in LOTOS). The synchronous circuit model used here is quite similar to the classical one exploited in...

Verifying and Testing Asynchronous Circuits using LOTOS (1970)

: This paper investigates specification and verification of synchronous circuits using DILL (Digital Logic in LOTOS). After an overview of the DILL approach, the paper focuses on the characteristics...