Department of Applied Data Science

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Author:  Cheang, Sin Man

Results 1-9 of 9

Issue DateTitleAuthor(s)Type
12003Applying sample weighting methods to genetic parallel programmingCheang, Sin Man ; Lee, Kin Hong ; Prof. LEUNG Kwong Sak Conference Proceedings
22001Balancing samples’ contributions on GA learningProf. LEUNG Kwong Sak ; Lee, Kin Hong ; Cheang, Sin Man Conference Paper
32003Data classification using genetic parallel programmingCheang, Sin Man ; Lee, Kin Hong ; Prof. LEUNG Kwong Sak Conference Paper
42004Designing optimal combinational digital circuits using a multiple logic unit processorCheang, Sin Man ; Lee, Kin Hong ; Prof. LEUNG Kwong Sak Conference Paper
52003Evolving data classification programs using genetic parallel programmingCheang, Sin Man ; Lee, Kin Hong ; Prof. LEUNG Kwong Sak Conference Proceedings
62002Evolving parallel machine programs for a multi-ALU processorProf. LEUNG Kwong Sak ; Lee, Kin Hong ; Cheang, Sin Man Conference Proceedings
72003Improving evolvability of genetic parallel programming using dynamic sample weightingCheang, Sin Man ; Lee, Kin Hong ; Prof. LEUNG Kwong Sak Conference Paper
82005Multi-logic-Unit Processor: A combinational logic circuit evaluation engine for genetic parallel programmingLau, Wai Shing ; Li, Gang ; Lee, Kin Hong ; Prof. LEUNG Kwong Sak ; Cheang, Sin Man Conference Paper
92003Parallel programs are more evolvable than sequential programsProf. LEUNG Kwong Sak ; Lee, Kin Hong ; Cheang, Sin Man Conference Paper